ΔΗΜΟΣΙΕΥΣΕΙΣ

6216836 2025 1 apa 50 creator asc 1939 https://swri.gr/wp-content/plugins/zotpress/
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Allmendinger, A., Saltık, A. O., Peteinatos, G. G., Stein, A., & Gerhards, R. (2025). Assessing the capability of YOLO- and transformer-based object detectors for real-time weed detection. Precision Agriculture, 26(3). https://doi.org/10.1007/s11119-025-10246-0
Chatzis, A., Kontogiannopoulos, K. N., Dimitrakakis, N., Zouboulis, A., & Kougias, P. G. (2025). Harnessing the Influence of Pressure and Nutrients on Biological CO2 Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Approaches. Fermentation, 11(1). https://doi.org/10.3390/fermentation11010043
Christianides, D., Bagaki, D. A., Timmers, R. A., Zrimec, M. B., Theodoropoulou, A., Angelidaki, I., Kougias, P., Zampieri, G., Kamergi, N., Napoli, A., Malamis, D., Mai, S., & Barampouti, E. M. (2025). Biogenic CO2 Emissions in the EU Biofuel and Bioenergy Sector: Mapping Sources, Regional Trends, and Pathways for Capture and Utilisation. Energies, 18(6). https://doi.org/10.3390/en18061345
Coletta, V. R., Pluchinotta, I., Pisinaras, V., Panagopoulos, A., Giordano, R., Pagano, A., Fratino, U., & Montanari, A. (2025). Leverage Points and Cascading Impacts Analysis in Nexus Systems Using System Dynamics Modeling. Earth’s Future, 13(7). https://doi.org/10.1029/2025EF006190
Coletta, V. R., Pluchinotta, I., Pisinaras, V., Panagopoulos, A., Giordano, R., Pagano, A., Fratino, U., & Montanari, A. (2025). Leverage Points and Cascading Impacts Analysis in Nexus Systems Using System Dynamics Modeling. Earth’s Future, 13(7). https://doi.org/10.1029/2025EF006190
Fidelibus, M. D., Balacco, G., Alfio, M. R., Arfaoui, M., Bassukas, D., Güler, C., Hamzaoui-Azaza, F., Külls, C., Panagopoulos, A., Parisi, A., Sachsamanoglou, E., & Tziritis, E. (2025). A chloride threshold to identify the onset of seawater/saltwater intrusion and a novel categorization of groundwater in coastal aquifers. Journal of Hydrology, 653. https://doi.org/10.1016/j.jhydrol.2025.132775
Fidelibus, M. D., Balacco, G., Alfio, M. R., Arfaoui, M., Bassukas, D., Güler, C., Hamzaoui-Azaza, F., Külls, C., Panagopoulos, A., Parisi, A., Sachsamanoglou, E., & Tziritis, E. (2025). A chloride threshold to identify the onset of seawater/saltwater intrusion and a novel categorization of groundwater in coastal aquifers. Journal of Hydrology, 653. https://doi.org/10.1016/j.jhydrol.2025.132775
Ghiotto, G., De Bernardini, N., Orellana, E., Fiorito, G., Cenci, L., Kougias, P. G., Campanaro, S., & Treu, L. (2025). Impact of trace metal supplementation on anaerobic biological methanation under hydrogen and carbon dioxide starvation. Npj Biofilms and Microbiomes, 11(1). https://doi.org/10.1038/s41522-025-00649-2
Ghiotto, G., Xirostylidou, A., Gaspari, M., Kougias, P. G., Campanaro, S., & Treu, L. (2025). Exploring genetic adaptation and microbial dynamics in engineered anaerobic ecosystems via strain-level metagenomics. Cell Genomics, 5(9). https://doi.org/10.1016/j.xgen.2025.100949
Giannopoulos, G., Tzanakakis, V. A., Duelli, G., Anastopoulos, I., Aschonitis, V. G., Arampatzis, G., & Barouchas, P. E. (2025). Municipal sewage sludge treatment and soil pH conclusively affect the nitrogen dynamics of amended soils. Environmental Advances, 19. https://doi.org/10.1016/j.envadv.2025.100618
He, X., Peng, Z., Shen, P., Miao, C., Xie, J., Deng, C., Kougias, P. G., Shen, D., & Lin, R. (2025). Promoting Multi-Carbon Fatty Acids Production from Microbial Chain Elongation of CO2/H2 with Carbonaceous Materials. ACS Sustainable Chemistry and Engineering, 13(18), 6720–6734. https://doi.org/10.1021/acssuschemeng.5c01443
Malamataris, D., Pisinaras, V., Pagano, A., Baratella, V., Vanino, S., Bea, M., Babakos, K., Chatzi, A., Fabiani, S., Giordano, R., Kafkias, P., López-Moya, E., Papadaskalopoulou, C., Portoghese, I., Tassopoulos, D., & Panagopoulos, A. (2025). Managing Water-Ecosystem-Food Nexus using participatory approaches: insights from an innovative methodological approach developed in two Mediterranean areas. Frontiers in Water, 7. https://doi.org/10.3389/frwa.2025.1469762
Malamataris, D., Pisinaras, V., Pagano, A., Baratella, V., Vanino, S., Bea, M., Babakos, K., Chatzi, A., Fabiani, S., Giordano, R., Kafkias, P., López-Moya, E., Papadaskalopoulou, C., Portoghese, I., Tassopoulos, D., & Panagopoulos, A. (2025). Managing Water-Ecosystem-Food Nexus using participatory approaches: insights from an innovative methodological approach developed in two Mediterranean areas. Frontiers in Water, 7. https://doi.org/10.3389/frwa.2025.1469762
Mola, M., Stratilaki, E., Mourouzidou, S., Kougias, P. G., Statiris, E., Papatheodorou, E. M., Malamis, S., & Monokrousos, N. (2025). Seasonal dynamics and functional diversity of soil nematode communities under treated wastewater irrigation in abandoned agricultural soils. Journal of Environmental Management, 375. https://doi.org/10.1016/j.jenvman.2025.124231
Morianou, G., Karatzas, G. P., Arampatzis, G., Pisinaras, V., & Kourgialas, N. N. (2025). Assessing Soil Water Dynamics in a Drip-Irrigated Grapefruit Orchard Using the HYDRUS 2D/3D Model: A Comparison of Unimodal and Bimodal Hydraulic Functions. Agronomy, 15(2). https://doi.org/10.3390/agronomy15020504
Morianou, G., Karatzas, G. P., Arampatzis, G., Pisinaras, V., & Kourgialas, N. N. (2025). Assessing Soil Water Dynamics in a Drip-Irrigated Grapefruit Orchard Using the HYDRUS 2D/3D Model: A Comparison of Unimodal and Bimodal Hydraulic Functions. Agronomy, 15(2). https://doi.org/10.3390/agronomy15020504
Pagano, A., Coletta, V. R., Portoghese, I., Panagopoulos, A., Pisinaras, V., Chatzi, A., Malamataris, D., Babakos, K., Lilli, M. A., Nikolaidis, N. P., & Giordano, R. (2025). On the use of Participatory System Dynamics Modelling for WEF Nexus management: Hints from two case studies in the Mediterranean region. Environmental Impact Assessment Review, 115. https://doi.org/10.1016/j.eiar.2025.108012
Pagano, A., Coletta, V. R., Portoghese, I., Panagopoulos, A., Pisinaras, V., Chatzi, A., Malamataris, D., Babakos, K., Lilli, M. A., Nikolaidis, N. P., & Giordano, R. (2025). On the use of Participatory System Dynamics Modelling for WEF Nexus management: Hints from two case studies in the Mediterranean region. Environmental Impact Assessment Review, 115. https://doi.org/10.1016/j.eiar.2025.108012
Psyrillos, A., & Tziritis, E. (2025). Groundwater quality and hydrogeochemical processes in the Katerini-Kolindros aquifer system, Central Macedonia, Greece. Environmental Earth Sciences, 84(5). https://doi.org/10.1007/s12665-025-12128-0
Sanguineti, D., Chatzis, A., Zampieri, G., Gaspari, M., Kougias, P. G., Campanaro, S., & Treu, L. (2025). Modelling microbial and metabolic shifts in trickle bed reactor biomethanation at decreasing gas retention times. Chemical Engineering Journal, 522. https://doi.org/10.1016/j.cej.2025.167574
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Agostini, S., Bucci, L., Doni, D., Costantini, P., Gupte, A., Müller, B., Sibilla, F., Basaglia, M., Casella, S., Kougias, P. G., Campanaro, S., Favaro, L., & Treu, L. (2024). Bioaugmentation strategies based on bacterial and methanogenic cultures to relieve stress in anaerobic digestion of protein-rich substrates. Renewable Energy, 225. https://doi.org/10.1016/j.renene.2024.120270
Aivatoglou, G., Fytili, A., Arampatzis, G., Zaikis, D., Stylianou, N., & Vlahavas, I. (2024). End-to-End Aspect Extraction and Aspect-Based Sentiment Analysis Framework for Low-Resource Languages. Lecture Notes in Networks and Systems, 824 LNNS, 841–858. https://doi.org/10.1007/978-3-031-47715-7_56
Alfio, M. R., Pisinaras, V., Panagopoulos, A., & Balacco, G. (2024). Groundwater level response to precipitation at the hydrological observatory of Pinios (central Greece). Groundwater for Sustainable Development, 24. https://doi.org/10.1016/j.gsd.2024.101081
Alfio, M. R., Pisinaras, V., Panagopoulos, A., & Balacco, G. (2024). Groundwater level response to precipitation at the hydrological observatory of Pinios (central Greece). Groundwater for Sustainable Development, 24. https://doi.org/10.1016/j.gsd.2024.101081
Allmendinger, A., Spaeth, M., Saile, M., Peteinatos, G. G., & Gerhards, R. (2024). Agronomic and Technical Evaluation of Herbicide Spot Spraying in Maize Based on High-Resolution Aerial Weed Maps—An On-Farm Trial. Plants, 13(15). https://doi.org/10.3390/plants13152164
Anagnostopoulou, C., Papachristou, I., Kyriakoudi, A., Kontogiannopoulos, K. N., Mourtzinos, I., & Kougias, P. G. (2024). Development of alginate beads loaded with bioactive ingredients from Chlorella vulgaris cultivated in food industry wastewaters. Algal Research, 80. https://doi.org/10.1016/j.algal.2024.103530
Anagnostopoulou, C., Papachristou, I., Kontogiannopoulos, K. N., Mourtzinos, I., & Kougias, P. G. (2024). Optimization of microalgae cultivation in food industry wastewater using microplates. Sustainable Chemistry and Pharmacy, 39. https://doi.org/10.1016/j.scp.2024.101510
Argyriou, A. V., Tektonidis, N., Alevizos, E., Ferentinos, K. P., Kourgialas, N. N., & Mathioudakis, M. M. (2024). Precision Farming Multimodal Technologies Using Optical Sensors for the Detection of Citrus Tristeza Virus Endemics. Sustainability (Switzerland), 16(13). https://doi.org/10.3390/su16135748
Babakos, K., Papamichail, D., Pisinaras, V., Tziachris, P., Demertzi, K., & Aschonitis, V. (2024). Using a random cross-validation technique to compare typical regression vs. Random Forests for modelling pan evaporation. Italian Journal of Agrometeorology, 2024(1), 59–72. https://doi.org/10.36253/ijam-2043
Bogena, H. R., Brogi, C., Hübner, C., & Panagopoulos, A. (2024). Metrology-Assisted Production in Agriculture and Forestry. Sensors, 24(23). https://doi.org/10.3390/s24237542
Dombrowski, O., Brogi, C., Hendricks Franssen, H.-J., Pisinaras, V., Panagopoulos, A., Swenson, S., & Bogena, H. (2024). Land Surface Modeling as a Tool to Explore Sustainable Irrigation Practices in Mediterranean Fruit Orchards. Water Resources Research, 60(7). https://doi.org/10.1029/2023WR036139
Dombrowski, O., Brogi, C., Hendricks Franssen, H.-J., Pisinaras, V., Panagopoulos, A., Swenson, S., & Bogena, H. (2024). Land Surface Modeling as a Tool to Explore Sustainable Irrigation Practices in Mediterranean Fruit Orchards. Water Resources Research, 60(7). https://doi.org/10.1029/2023WR036139
Gaspari, M., Ghiotto, G., Centurion, V. B., Kotsopoulos, T., Santinello, D., Campanaro, S., Treu, L., & Kougias, P. G. (2024). Decoding Microbial Responses to Ammonia Shock Loads in Biogas Reactors through Metagenomics and Metatranscriptomics. Environmental Science and Technology, 58(1), 591–602. https://doi.org/10.1021/acs.est.3c07840
Gerhards, R., Risser, P., Spaeth, M., Saile, M., & Peteinatos, G. (2024). A comparison of seven innovative robotic weeding systems and reference herbicide strategies in sugar beet (Beta vulgaris subsp. vulgaris L.) and rapeseed (Brassica napus L.). Weed Research, 64(1), 42–53. https://doi.org/10.1111/wre.12603
Ghiotto, G., De Bernardini, N., Giangeri, G., Tsapekos, P., Gaspari, M., Kougias, P. G., Campanaro, S., Angelidaki, I., & Treu, L. (2024). From microbial heterogeneity to evolutionary insights: A strain-resolved metagenomic study of H2S-induced changes in anaerobic biofilms. Chemical Engineering Journal, 485. https://doi.org/10.1016/j.cej.2024.149824
Giangeri, G., Tsapekos, P., Gaspari, M., Ghofrani-Isfahani, P., Treu, L., Kougias, P., Campanaro, S., & Angelidaki, I. (2024). A bioaugmentation strategy to recover methane production under sulfate-stressed conditions: Highlights on targeted sulfate-reducing bacteria and DIET-related species. Applied Energy, 362. https://doi.org/10.1016/j.apenergy.2024.122940
Iatrou, M., Tziouvalekas, M., Tsitouras, A., Evangelou, E., Noulas, C., Vlachostergios, D., Aschonitis, V., Arampatzis, G., Metaxa, I., Karydas, C., & Tziachris, P. (2024). Analyzing the Impact of Storm ‘Daniel’ and Subsequent Flooding on Thessaly’s Soil Chemistry through Causal Inference. Agriculture (Switzerland), 14(4). https://doi.org/10.3390/agriculture14040549
Kampas, G., Panagopoulos, A., Gkiougkis, I., Pouliaris, C., Pliakas, F.-K., Kinigopoulou, V., & Diamantis, I. (2024). Index-Based Groundwater Quality Assessment of Nestos River Deltaic Aquifer System, Northeastern Greece. Water (Switzerland), 16(2). https://doi.org/10.3390/w16020352
Kappa, S., Nikolaidou, C., Noutsopoulos, C., Mamais, D., Hadjimitsi, E., Kougias, P. G., & Malamis, S. (2024). Investigating upflow anaerobic sludge blanket process to treat forward osmosis effluents of concentrated municipal wastewater under psychrophilic temperature. Bioresource Technology, 412. https://doi.org/10.1016/j.biortech.2024.131361
Mitraka, G.-C., Kontogiannopoulos, K. N., Zouboulis, A. I., & Kougias, P. G. (2024). Evaluation of the optimal sewage sludge pre-treatment technology through continuous reactor operation: Process performance and microbial community insights. Water Research, 257. https://doi.org/10.1016/j.watres.2024.121662
Mola, M., Kougias, P. G., Statiris, E., Papadopoulou, P., Malamis, S., & Monokrousos, N. (2024). Short-term effect of reclaimed water irrigation on soil health, plant growth and the composition of soil microbial communities. Science of the Total Environment, 949. https://doi.org/10.1016/j.scitotenv.2024.175107
Nikolaidou, C., Mola, M., Papakostas, S., Aschonitis, V. G., Monokrousos, N., & Kougias, P. G. (2024). The effect of anaerobic digestate as an organic soil fertilizer on the diversity and structure of the indigenous soil microbial and nematode communities. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-024-32850-9
Proskynitopoulou, V., Vourros, A., Garagounis, I., Toursidis, P. D., Lorentzou, S., Kougias, P., Zouboulis, A., & Panopoulos, K. D. (2024). Treatment of anaerobically digested pig manure by applying membrane processes for nutrient recovery and antibiotics removal. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-024-33313-x
Sachsamanoglou, E., Tziritis, E., & Dalampakis, P. (2024). Preliminary Evaluation of the Geothermal Influence on the Hydrogeochemistry of Rhodopes’ Coastal Aquifer (NE Greece). Advances in Science, Technology and Innovation, 53–55. https://doi.org/10.1007/978-3-031-47079-0_12
Schumacher, M., Spaeth, M., Naruhn, G., Reiser, D., Messelhäuser, M., Witty, R., Gerhards, R., & Peteinatos, G. (2024). Ecologically Based Weed Management in Vegetable Crops. wiley. https://doi.org/10.1002/9781119709763.ch13
Sismani, G., Pisinaras, V., & Arampatzis, G. (2024). Water Governance for Climate-Resilient Agriculture in Mediterranean Countries. Water (Switzerland), 16(8). https://doi.org/10.3390/w16081103
Sismani, G., Pisinaras, V., & Arampatzis, G. (2024). Water Governance for Climate-Resilient Agriculture in Mediterranean Countries. Water (Switzerland), 16(8). https://doi.org/10.3390/w16081103
Tziritis, E., Sachsamanoglou, E., & Dolores Fidelibus, M. (2024). Assessment of Groundwater Salinization Using Combined Hydrogeochemical Tools: The Case of Rhodope Aquifer (NE Greece). Advances in Science, Technology and Innovation, 65–67. https://doi.org/10.1007/978-3-031-47079-0_15
Tziritis, E., Sachsamanoglou, E., & Güler, C. (2024). Evaluating spatiotemporal groundwater quality changes in the Rhodope coastal aquifer system (NE Greece) employing a GIS-assisted hybrid approach of multivariate statistics and inverse geochemical modeling. Science of the Total Environment, 947. https://doi.org/10.1016/j.scitotenv.2024.174676
Vahamidis, P., Chachalis, D., Akrivou, A., Karanasios, E., Ganopoulou, M., Argiri, A., Mandoulaki, A., Hatzigiannakis, E., Arampatzis, G., Panagopoulos, A., Mantzouni, I., & Markellou, E. (2024). Weed Species’ Diversity and Composition as Shaped by the Interaction of Management, Site, and Soil Variables in Olive Groves of Southern Greece. Agronomy, 14(3). https://doi.org/10.3390/agronomy14030640
Vahamidis, P., Chachalis, D., Akrivou, A., Karanasios, E., Ganopoulou, M., Argiri, A., Mandoulaki, A., Hatzigiannakis, E., Arampatzis, G., Panagopoulos, A., Mantzouni, I., & Markellou, E. (2024). Weed Species’ Diversity and Composition as Shaped by the Interaction of Management, Site, and Soil Variables in Olive Groves of Southern Greece. Agronomy, 14(3). https://doi.org/10.3390/agronomy14030640
Vanino, S., Baratella, V., Pirelli, T., Ferrari, D., Di Fonzo, A., Pucci, F., Nikolaidis, N. P., Lilli, M. A., Doğan, Z. A., Topdemir, T., Awabdeh, S., Al-Hadidi, L., Bani Hani, N., Panagopoulos, A., Pisinaras, V., Chatzi, A., López, E., Papadaskalopoulou, C., Tassopoulos, D., … Fabiani, S. (2024). Nature-Based Solutions for Optimizing the Water–Ecosystem–Food Nexus in Mediterranean Countries. Sustainability (Switzerland), 16(10). https://doi.org/10.3390/su16104064
Vanino, S., Baratella, V., Pirelli, T., Ferrari, D., Di Fonzo, A., Pucci, F., Nikolaidis, N. P., Lilli, M. A., Doğan, Z. A., Topdemir, T., Awabdeh, S., Al-Hadidi, L., Bani Hani, N., Panagopoulos, A., Pisinaras, V., Chatzi, A., López, E., Papadaskalopoulou, C., Tassopoulos, D., … Fabiani, S. (2024). Nature-Based Solutions for Optimizing the Water–Ecosystem–Food Nexus in Mediterranean Countries. Sustainability (Switzerland), 16(10). https://doi.org/10.3390/su16104064
Xirostylidou, A., Gaspari, M., Kontogiannopoulos, K. N., Ghiotto, G., Treu, L., Campanaro, S., Zouboulis, A. I., & Kougias, P. G. (2024). Biomethanation on demand: Continuous and intermittent hydrogen supply on biological CO2 methanation. Chemical Engineering Journal, 495. https://doi.org/10.1016/j.cej.2024.153677
6216836 2023 1 apa 50 creator asc 1939 https://swri.gr/wp-content/plugins/zotpress/
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Alfio, M. R., Pisinaras, V., Panagopoulos, A., & Balacco, G. (2023). A comprehensive assessment of RCP4.5 projections and bias-correction techniques in a complex coastal karstic aquifer in the Mediterranean. Frontiers in Earth Science, 11. https://doi.org/10.3389/feart.2023.1231296
Alfio, M. R., Pisinaras, V., Panagopoulos, A., & Balacco, G. (2023). A comprehensive assessment of RCP4.5 projections and bias-correction techniques in a complex coastal karstic aquifer in the Mediterranean. Frontiers in Earth Science, 11. https://doi.org/10.3389/feart.2023.1231296
Arampatzis, G., Perifanis, V., Symeonidis, S., & Arampatzis, A. (2023). DUTH at SemEval-2023 Task 9: An Ensemble Approach for Twitter Intimacy Analysis. In O. A.K, D. A.S, D. S. M. G, M. H.T, K. R, & S. E (Eds.), 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop (pp. 1225–1230). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.semeval-1.170
Brogi, C., Pisinaras, V., Köhli, M., Dombrowski, O., Hendricks Franssen, H.-J., Babakos, K., Chatzi, A., Panagopoulos, A., & Bogena, H. R. (2023). Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors. Sensors, 23(5). https://doi.org/10.3390/s23052378
Brogi, C., Pisinaras, V., Köhli, M., Dombrowski, O., Hendricks Franssen, H.-J., Babakos, K., Chatzi, A., Panagopoulos, A., & Bogena, H. R. (2023). Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors. Sensors, 23(5). https://doi.org/10.3390/s23052378
Chatzis, A., Orellana, E., Gaspari, M., Kontogiannopoulos, K., Treu, L., Zouboulis, A., & Kougias, P. G. (2023). Comparative study on packing materials for improved biological methanation in trickle Bed reactors. Bioresource Technology, 385. https://doi.org/10.1016/j.biortech.2023.129456
Gaspari, M., Treu, L., Centurion, V. B., Kotsopoulos, T. Α., Campanaro, S., & Kougias, P. G. (2023). Impacts of long chain fatty acids injection on biogas reactors performance stability and microbial community structure and function. Journal of Cleaner Production, 418. https://doi.org/10.1016/j.jclepro.2023.138048
Gaspari, M., Alvarado-Morales, M., Tsapekos, P., Angelidaki, I., & Kougias, P. (2023). Simulating the performance of biogas reactors co-digesting ammonia and/or fatty acid rich substrates. Biochemical Engineering Journal, 190. https://doi.org/10.1016/j.bej.2022.108741
Giangeri, G., Tsapekos, P., Gaspari, M., Ghofrani-Isfahani, P., Lin, M. K. T. H., Treu, L., Kougias, P., Campanaro, S., & Angelidaki, I. (2023). Magnetite Alters the Metabolic Interaction between Methanogens and Sulfate-Reducing Bacteria. Environmental Science and Technology, 57(43), 16399–16413. https://doi.org/10.1021/acs.est.3c05948
Gkotsis, P., Kougias, P., Mitrakas, M., & Zouboulis, A. (2023). Biogas upgrading technologies – Recent advances in membrane-based processes. International Journal of Hydrogen Energy, 48(10), 3965–3993. https://doi.org/10.1016/j.ijhydene.2022.10.228
Keramitsoglou, I., Sismanidis, P., Sykioti, O., Pisinaras, V., Tsakmakis, I., Panagopoulos, A., Argyriou, A., & Kiranoudis, C. T. (2023). SENSE-GDD: A Satellite-Derived Temperature Monitoring Service to Provide Growing Degree Days. Agriculture (Switzerland), 13(5). https://doi.org/10.3390/agriculture13051108
Keramitsoglou, I., Sismanidis, P., Sykioti, O., Pisinaras, V., Tsakmakis, I., Panagopoulos, A., Argyriou, A., & Kiranoudis, C. T. (2023). SENSE-GDD: A Satellite-Derived Temperature Monitoring Service to Provide Growing Degree Days. Agriculture (Switzerland), 13(5). https://doi.org/10.3390/agriculture13051108
Malamataris, D., Chatzi, A., Babakos, K., Pisinaras, V., Hatzigiannakis, E., Willaarts, B. A., Bea, M., Pagano, A., & Panagopoulos, A. (2023). A Participatory Approach to Exploring Nexus Challenges: A Case Study on the Pinios River Basin, Greece. Water (Switzerland), 15(22). https://doi.org/10.3390/w15223949
Malamataris, D., Chatzi, A., Babakos, K., Pisinaras, V., Hatzigiannakis, E., Willaarts, B. A., Bea, M., Pagano, A., & Panagopoulos, A. (2023). A Participatory Approach to Exploring Nexus Challenges: A Case Study on the Pinios River Basin, Greece. Water (Switzerland), 15(22). https://doi.org/10.3390/w15223949
Naruhn, G., Schneevoigt, V., Hartung, J., Peteinatos, G., Möller, K., & Gerhards, R. (2023). Bi-directional hoeing in maize. Weed Research, 63(6), 348–360. https://doi.org/10.1111/wre.12597
Pisinaras, V., Herrmann, F., Panagopoulos, A., Tziritis, E., McNamara, I., & Wendland, F. (2023). Fully Distributed Water Balance Modelling in Large Agricultural Areas—The Pinios River Basin (Greece) Case Study. Sustainability (Switzerland), 15(5). https://doi.org/10.3390/su15054343
Pisinaras, V., Herrmann, F., Panagopoulos, A., Tziritis, E., McNamara, I., & Wendland, F. (2023). Fully Distributed Water Balance Modelling in Large Agricultural Areas—The Pinios River Basin (Greece) Case Study. Sustainability (Switzerland), 15(5). https://doi.org/10.3390/su15054343
Pisinaras, V., Herrmann, F., Panagopoulos, A., Tziritis, E., McNamara, I., & Wendland, F. (2023). Fully Distributed Water Balance Modelling in Large Agricultural Areas—The Pinios River Basin (Greece) Case Study. Sustainability (Switzerland), 15(5). https://doi.org/10.3390/su15054343
Simeonidis, K., Martinez-Boubeta, C., Kellartzis, I., Makridis, A., Delli, E., Haeussler, A., Kougias, P. G., Vourlias, G., & Balcells, L. (2023). Solar-assisted approach for the synthesis of nanoadsorbents for biogas desulfurization using wastes. Materials Today Energy, 37. https://doi.org/10.1016/j.mtener.2023.101395
Tziachris, P., Nikou, M., Aschonitis, V., Kallioras, A., Sachsamanoglou, K., Fidelibus, M. D., & Tziritis, E. (2023). Spatial or Random Cross-Validation? The Effect of Resampling Methods in Predicting Groundwater Salinity with Machine Learning in Mediterranean Region. Water (Switzerland), 15(12). https://doi.org/10.3390/w15122278
Tziritis, E., Sachsamanoglou, E., & Aschonitis, V. (2023). Assessing Groundwater Evolution with a Combined Approach of Hydrogeochemical Modelling and Data Analysis: Application to the Rhodope Coastal Aquifer (NE Greece). Water (Switzerland), 15(2). https://doi.org/10.3390/w15020230
Wang, P., Peteinatos, G., Efthimiadou, A., & Ma, W. (2023). Editorial: Weed identification and integrated control. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1351481
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Abbaszadeh, L., Koutra, E., Tsigkou, K., Gaspari, M., Kougias, P. G., & Kornaros, M. (2022). Nitrification upon Nitrogen Starvation and Recovery: Effect of Stress Period, Substrate Concentration and pH on Ammonia Oxidizers’ Performance. Fermentation, 8(8). https://doi.org/10.3390/fermentation8080387
Allmendinger, A., Spaeth, M., Saile, M., Peteinatos, G. G., & Gerhards, R. (2022). Precision Chemical Weed Management Strategies: A Review and a Design of a New CNN-Based Modular Spot Sprayer. Agronomy, 12(7). https://doi.org/10.3390/agronomy12071620
Anagnostopoulou, C., Kontogiannopoulos, K. N., Gaspari, M., Morlino, M. S., Assimopoulou, A. N., & Kougias, P. G. (2022). Valorization of household food wastes to lactic acid production: A response surface methodology approach to optimize fermentation process. Chemosphere, 296. https://doi.org/10.1016/j.chemosphere.2022.133871
Balacco, G., Alfio, M. R., Parisi, A., Panagopoulos, A., & Fidelibus, M. D. (2022). Application of short time series analysis for the hydrodynamic characterization of a coastal karst aquifer: The Salento aquifer (Southern Italy). Journal of Hydroinformatics, 24(2), 420–443. https://doi.org/10.2166/hydro.2022.135
Bogena, H. R., Schrön, M., Jakobi, J., Ney, P., Zacharias, S., Andreasen, M., Baatz, R., Boorman, D., Duygu, M. B., Eguibar-Galán, M. A., Fersch, B., Franke, T., Geris, J., González Sanchis, M., Kerr, Y., Korf, T., Mengistu, Z., Mialon, A., Nasta, P., … Vereecken, H. (2022). COSMOS-Europe: a European network of cosmic-ray neutron soil moisture sensors. Earth System Science Data, 14(3), 1125–1151. https://doi.org/10.5194/essd-14-1125-2022
Bogena, H. R., Schrön, M., Jakobi, J., Ney, P., Zacharias, S., Andreasen, M., Baatz, R., Boorman, D., Duygu, M. B., Eguibar-Galán, M. A., Fersch, B., Franke, T., Geris, J., González Sanchis, M., Kerr, Y., Korf, T., Mengistu, Z., Mialon, A., Nasta, P., … Vereecken, H. (2022). COSMOS-Europe: a European network of cosmic-ray neutron soil moisture sensors. Earth System Science Data, 14(3), 1125–1151. https://doi.org/10.5194/essd-14-1125-2022
Chronidou, D., Tziritis, E., Panagopoulos, A., Oikonomou, E. K., & Loukas, A. (2022). A Modified GALDIT Method to Assess Groundwater Vulnerability to Salinization—Application to Rhodope Coastal Aquifer (North Greece). Water (Switzerland), 14(22). https://doi.org/10.3390/w14223689
Chronidou, D., Tziritis, E., Panagopoulos, A., Oikonomou, E. K., & Loukas, A. (2022). A Modified GALDIT Method to Assess Groundwater Vulnerability to Salinization—Application to Rhodope Coastal Aquifer (North Greece). Water (Switzerland), 14(22). https://doi.org/10.3390/w14223689
De Bernardini, N., Basile, A., Zampieri, G., Kovalovszki, A., De Diego Diaz, B., Offer, E., Wongfaed, N., Angelidaki, I., Kougias, P. G., Campanaro, S., & Treu, L. (2022). Integrating metagenomic binning with flux balance analysis to unravel syntrophies in anaerobic CO2 methanation. Microbiome, 10(1). https://doi.org/10.1186/s40168-022-01311-1
Gerhards, R., Andújar Sanchez, D., Hamouz, P., Peteinatos, G. G., Christensen, S., & Fernandez-Quintanilla, C. (2022). Advances in site-specific weed management in agriculture—A review. Weed Research, 62(2), 123–133. https://doi.org/10.1111/wre.12526
Ghofrani-Isfahani, P., Tsapekos, P., Peprah, M., Kougias, P., Zervas, A., Zhu, X., Yang, Z., Jacobsen, C. S., & Angelidaki, I. (2022). Ex-situ biogas upgrading in thermophilic trickle bed reactors packed with micro-porous packing materials. Chemosphere, 296. https://doi.org/10.1016/j.chemosphere.2022.133987
Kampas, G., Gkiougkis, I., Panagopoulos, A., Pliakas, F.-K., & Diamantis, I. (2022). Assessment of a Coastal Aquifer in the Framework of Conjunctive Use of Surface Water and Groundwater—The Case of the River Nestos Western Delta, NE Greece. Hydrology, 9(10). https://doi.org/10.3390/hydrology9100172
Khoshnevisan, B., He, L., Xu, M., Valverde-Pérez, B., Sillman, J., Mitraka, G.-C., Kougias, P. G., Zhang, Y., Yan, S., Ji, L., Carbajales-Dale, M., Elyasi, S. N., Marami, H., Tsapekos, P., Liu, H., & Angelidaki, I. (2022). From renewable energy to sustainable protein sources: Advancement, challenges, and future roadmaps. Renewable and Sustainable Energy Reviews, 157. https://doi.org/10.1016/j.rser.2021.112041
Kourgialas, N. N., Psarras, G., Morianou, G., Pisinaras, V., Koubouris, G., Digalaki, N., Malliaraki, S., Aggelaki, K., Motakis, G., & Arampatzis, G. (2022). Good Agricultural Practices Related to Water and Soil as a Means of Adaptation of Mediterranean Olive Growing to Extreme Climate-Water Conditions. Sustainability (Switzerland), 14(20). https://doi.org/10.3390/su142013673
Kourgialas, N. N., Psarras, G., Morianou, G., Pisinaras, V., Koubouris, G., Digalaki, N., Malliaraki, S., Aggelaki, K., Motakis, G., & Arampatzis, G. (2022). Good Agricultural Practices Related to Water and Soil as a Means of Adaptation of Mediterranean Olive Growing to Extreme Climate-Water Conditions. Sustainability (Switzerland), 14(20). https://doi.org/10.3390/su142013673
Kypritidou, Z., Doulgeris, C., Tziritis, E., Kinigopoulou, V., Jellali, S., & Jeguirim, M. (2022). Geochemical Modelling of Inorganic Nutrients Leaching from an Agricultural Soil Amended with Olive-Mill Waste Biochar. Agronomy, 12(2). https://doi.org/10.3390/agronomy12020480
Kypritidou, Z., El-Bassi, L., Jellali, S., Kinigopoulou, V., Tziritis, E., Akrout, H., Jeguirim, M., & Doulgeris, C. (2022). Lead removal from aqueous solutions by olive mill wastes derived biochar: Batch experiments and geochemical modelling. Journal of Environmental Management, 318. https://doi.org/10.1016/j.jenvman.2022.115562
Mitraka, G.-C., Kontogiannopoulos, K. N., Batsioula, M., Banias, G. F., Zouboulis, A. I., & Kougias, P. G. (2022). A Comprehensive Review on Pretreatment Methods for Enhanced Biogas Production from Sewage Sludge. Energies, 15(18). https://doi.org/10.3390/en15186536
Mitraka, G.-C., Kontogiannopoulos, K. N., Tsivintzelis, I., Zouboulis, A. I., & Kougias, P. G. (2022). Optimization of supercritical carbon dioxide explosion for sewage sludge pre-treatment using response surface methodology. Chemosphere, 297. https://doi.org/10.1016/j.chemosphere.2022.133989
Palù, M., Peprah, M., Tsapekos, P., Kougias, P., Campanaro, S., Angelidaki, I., & Treu, L. (2022). In-situ biogas upgrading assisted by bioaugmentation with hydrogenotrophic methanogens during mesophilic and thermophilic co-digestion. Bioresource Technology, 348. https://doi.org/10.1016/j.biortech.2022.126754
Panagiotou, C. F., Kyriakidis, P., & Tziritis, E. (2022). Application of geostatistical methods to groundwater salinization problems: A review. Journal of Hydrology, 615. https://doi.org/10.1016/j.jhydrol.2022.128566
Rossi, A., Morlino, M. S., Gaspari, M., Basile, A., Kougias, P., Treu, L., & Campanaro, S. (2022). Analysis of the anaerobic digestion metagenome under environmental stresses stimulating prophage induction. Microbiome, 10(1). https://doi.org/10.1186/s40168-022-01316-w
Tsapekos, P., Khoshnevisan, B., Zhu, X., Treu, L., Alfaro, N., Kougias, P. G., & Angelidaki, I. (2022). Lab- and pilot-scale anaerobic digestion of municipal bio-waste and potential of digestate for biogas upgrading sustained by microbial analysis. Renewable Energy, 201, 344–353. https://doi.org/10.1016/j.renene.2022.10.116
Tsigkou, K., Terpou, A., Treu, L., Kougias, P. G., & Kornaros, M. (2022). Thermophilic anaerobic digestion of olive mill wastewater in an upflow packed bed reactor: Evaluation of 16S rRNA amplicon sequencing for microbial analysis. Journal of Environmental Management, 301. https://doi.org/10.1016/j.jenvman.2021.113853
Tziritis, E., & Panagopoulos, A. (2022). Geo-Environmental Approaches for the Analysis and Assessment of Groundwater Resources at the Catchment Scale. Water (Switzerland), 14(7). https://doi.org/10.3390/w14071085
Tziritis, E., & Panagopoulos, A. (2022). Geo-Environmental Approaches for the Analysis and Assessment of Groundwater Resources at the Catchment Scale. Water (Switzerland), 14(7). https://doi.org/10.3390/w14071085
Voulanas, D., Hatzigiannakis, E., & Arampatzis, G. (2022). HYDRUS-1D modelling of soil water regime in a rational irrigation pilot application (Nigrita, Greece). Desalination and Water Treatment, 264, 307–317. https://doi.org/10.5004/dwt.2022.28584
Vrouhakis, I., Tziritis, E., Stamatis, G., & Panagopoulos, A. (2022). Groundwater Vulnerability Analysis of Tirnavos Basin, Central Greece: An Application of RIVA Method. Water (Switzerland), 14(4). https://doi.org/10.3390/w14040534
Vrouhakis, I., Tziritis, E., Stamatis, G., & Panagopoulos, A. (2022). Groundwater Vulnerability Analysis of Tirnavos Basin, Central Greece: An Application of RIVA Method. Water (Switzerland), 14(4). https://doi.org/10.3390/w14040534
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Demertzi, K., Pisinaras, V., Lekakis, E., Tziritis, E., Babakos, K., & Aschonitis, V. (2021). Assessing annual actual evapotranspiration based on climate, topography and soil in natural and agricultural ecosystems. Climate, 9(2), 1–16. https://doi.org/10.3390/cli9020020
Demertzi, K., Pisinaras, V., Lekakis, E., Tziritis, E., Babakos, K., & Aschonitis, V. (2021). Assessing annual actual evapotranspiration based on climate, topography and soil in natural and agricultural ecosystems. Climate, 9(2), 1–16. https://doi.org/10.3390/cli9020020
Duan, N., Kougias, P. G., Campanaro, S., Treu, L., & Angelidaki, I. (2021). Evolution of the microbial community structure in biogas reactors inoculated with seeds from different origin. Science of the Total Environment, 773. https://doi.org/10.1016/j.scitotenv.2021.144981
Gaspari, M., Treu, L., Zhu, X., Palù, M., Angelidaki, I., Campanaro, S., & Kougias, P. G. (2021). Microbial dynamics in biogas digesters treating lipid-rich substrates via genome-centric metagenomics. Science of the Total Environment, 778. https://doi.org/10.1016/j.scitotenv.2021.146296
Gerhards, R., Späth, M., Sökefeld, M., Peteinatos, G. G., Nabout, A., & Rueda Ayala, V. (2021). Automatic adjustment of harrowing intensity in cereals using digital image analysis. Weed Research, 61(1), 68–77. https://doi.org/10.1111/wre.12458
Ghofrani-Isfahani, P., Tsapekos, P., Peprah, M., Kougias, P., Zhu, X., Kovalovszki, A., Zervas, A., Zha, X., Jacobsen, C. S., & Angelidaki, I. (2021). Ex-situ biogas upgrading in thermophilic up-flow reactors: The effect of different gas diffusers and gas retention times. Bioresource Technology, 340. https://doi.org/10.1016/j.biortech.2021.125694
Jackenkroll, M., Peteinatos, G., Kollenda, B., Mink, R., & Gerhards, R. (2021). Optimizing precision agricultural operations by standardized cloud-based functions. Spanish Journal of Agricultural Research, 19(4). https://doi.org/10.5424/sjar/2021194-17774
Kaffas, K., Pisinaras, V., Al Sayah, M. J., Santopietro, S., & Righetti, M. (2021). A USLE-based model with modified LS-factor combined with sediment delivery module for Alpine basins. Catena, 207. https://doi.org/10.1016/j.catena.2021.105655
Louhasakul, Y., Treu, L., Kougias, P. G., Campanaro, S., Cheirsilp, B., & Angelidaki, I. (2021). Valorization of palm oil mill wastewater for integrated production of microbial oil and biogas in a biorefinery approach. Journal of Cleaner Production, 296. https://doi.org/10.1016/j.jclepro.2021.126606
Machleb, J., Peteinatos, G. G., Sökefeld, M., & Gerhards, R. (2021). Sensor-based intrarow mechanical weed control in sugar beets with motorized finger weeders. Agronomy, 11(8). https://doi.org/10.3390/agronomy11081517
Marks, E., Akrout, H., Kinigopoulou, V., Doulgeris, C., Jellali, S., Rad, C., Zulueta, P. S., Tziritis, E., El-Bassi, L., & Jeguirim, M. (2021). Olive Mill Wastes in the Mediterranean: An Initial Assessment of Organic Matter and Nutrients of Agricultural Value. Environmental Science and Engineering, 1097–1101. https://doi.org/10.1007/978-3-030-51210-1_172
Morianou, G., Kourgialas, N. N., Psarras, G., Pisinaras, V., & Arambatzis, G. (2021). Assessing desertification sensitivity map under climate change and agricultural practices scenarios: The island of Crete case study. Water Science and Technology: Water Supply, 21(6), 2916–2934. https://doi.org/10.2166/ws.2021.132
Naruhn, G.-P., Peteinatos, G. G., Butz, A. F., Möller, K., & Gerhards, R. (2021). Efficacy of various mechanical weeding methods—single and in combination—in terms of different field conditions and weed densities. Agronomy, 11(10). https://doi.org/10.3390/agronomy11102084
Ntinas, G. K., Bantis, F., Koukounaras, A., & Kougias, P. G. (2021). Exploitation of liquid digestate as the sole nutrient source for floating hydroponic cultivation of baby lettuce (Lactuca sativa) in greenhouses. Energies, 14(21). https://doi.org/10.3390/en14217199
Pisinaras, V., Paraskevas, C., & Panagopoulos, A. (2021). Investigating the effects of agricultural water management in a mediterranean coastal aquifer under current and projected climate conditions. Water (Switzerland), 13(1). https://doi.org/10.3390/w13010108
Pisinaras, V., Paraskevas, C., & Panagopoulos, A. (2021). Investigating the effects of agricultural water management in a mediterranean coastal aquifer under current and projected climate conditions. Water (Switzerland), 13(1). https://doi.org/10.3390/w13010108
Pristouris, K., Nakos, H., Stavrakas, Y., Kotsopoulos, K. I., Alexandridis, T., Barda, M. S., & Ferentinos, K. P. (2021). An Integrated System for Urban Parks Touring and Management. Urban Science, 5(4). https://doi.org/10.3390/urbansci5040091
Skoulikidis, N. T., Nikolaidis, N. P., Panagopoulos, A., Ficher-Kowalski, M., Zogaris, S., Petridis, P., Pisinaras, V., Efstathiou, D., Petanidou, T., Maneas, G., Mihalopoulos, N., & Mimikou, M. (2021). The LTER-Greece environmental observatory network: Design and initial achievements. Water (Switzerland), 13(21). https://doi.org/10.3390/w13212971
Skoulikidis, N. T., Nikolaidis, N. P., Panagopoulos, A., Ficher-Kowalski, M., Zogaris, S., Petridis, P., Pisinaras, V., Efstathiou, D., Petanidou, T., Maneas, G., Mihalopoulos, N., & Mimikou, M. (2021). The LTER-Greece environmental observatory network: Design and initial achievements. Water (Switzerland), 13(21). https://doi.org/10.3390/w13212971
Tsapekos, P., Treu, L., Campanaro, S., Centurion, V. B., Zhu, X., Peprah, M., Zhang, Z., Kougias, P. G., & Angelidaki, I. (2021). Pilot-scale biomethanation in a trickle bed reactor: Process performance and microbiome functional reconstruction. Energy Conversion and Management, 244. https://doi.org/10.1016/j.enconman.2021.114491
Tsapekos, P., Kovalovszki, A., Alvarado-Morales, M., Rudatis, A., Kougias, P. G., & Angelidaki, I. (2021). Anaerobic co-digestion of macroalgal biomass with cattle manure under high salinity conditions. Journal of Environmental Chemical Engineering, 9(4). https://doi.org/10.1016/j.jece.2021.105406
Tsapekos, P., Alvarado-Morales, M., Kougias, P. G., Treu, L., & Angelidaki, I. (2021). Enhancing anaerobic digestion of agricultural residues by microaerobic conditions. Biomass Conversion and Biorefinery, 11(6), 2325–2333. https://doi.org/10.1007/s13399-019-00430-4
Tziritis, E., Pisinaras, V., Panagopoulos, A., & Arampatzis, G. (2021). RIVA: a new proposed method for assessing intrinsic groundwater vulnerability. Environmental Science and Pollution Research, 28(6), 7043–7067. https://doi.org/10.1007/s11356-020-10872-3
Tziritis, E., Pisinaras, V., Panagopoulos, A., & Arampatzis, G. (2021). RIVA: a new proposed method for assessing intrinsic groundwater vulnerability. Environmental Science and Pollution Research, 28(6), 7043–7067. https://doi.org/10.1007/s11356-020-10872-3
Tziritis, E., Pisinaras, V., Panagopoulos, A., & Arampatzis, G. (2021). RIVA: a new proposed method for assessing intrinsic groundwater vulnerability. Environmental Science and Pollution Research, 28(6), 7043–7067. https://doi.org/10.1007/s11356-020-10872-3
Tziritis, E., Pisinaras, V., Panagopoulos, A., & Arampatzis, G. (2021). RIVA: a new proposed method for assessing intrinsic groundwater vulnerability. Environmental Science and Pollution Research, 28(6), 7043–7067. https://doi.org/10.1007/s11356-020-10872-3
Vrouhakis, I., Tziritis, E., Panagopoulos, A., & Stamatis, G. (2021). Hydrogeochemical and hydrodynamic assessment of tirnavos basin, central greece. Water (Switzerland), 13(6). https://doi.org/10.3390/w13060759
Vrouhakis, I., Tziritis, E., Panagopoulos, A., & Stamatis, G. (2021). Hydrogeochemical and hydrodynamic assessment of tirnavos basin, central greece. Water (Switzerland), 13(6). https://doi.org/10.3390/w13060759
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Amos, C., Ferentinos, K. P., Petropoulos, G. P., & Srivastava, P. K. (2020). Assessing the Use of Sentinel-2 in Burnt Area Cartography: Findings from a Case Study in Spain. wiley. https://doi.org/10.1002/9781119359203.ch11
Babakos, K., Papamichail, D., Tziachris, P., Pisinaras, V., Demertzi, K., & Aschonitis, V. (2020). Assessing the robustness of pan evaporation models for estimating reference crop evapotranspiration during recalibration at local conditions. Hydrology, 7(3), 1–17. https://doi.org/10.3390/hydrology7030062
Barzegar, R., Asghari Moghaddam, A., Tziritis, E., Adamowski, J., Bou Nassar, J., Noori, M., Aalami, M. T., & Kazemian, N. (2020). Exploring the hydrogeochemical evolution of cold and thermal waters in the Sarein-Nir area, Iran using stable isotopes (δ18O and δD), geothermometry and multivariate statistical approaches. Geothermics, 85. https://doi.org/10.1016/j.geothermics.2020.101815
Bogena, H. R., Herrmann, F., Jakobi, J., Brogi, C., Ilias, A., Huisman, J. A., Panagopoulos, A., & Pisinaras, V. (2020). Monitoring of Snowpack Dynamics With Cosmic-Ray Neutron Probes: A Comparison of Four Conversion Methods. Frontiers in Water, 2. https://doi.org/10.3389/frwa.2020.00019
Bogena, H. R., Herrmann, F., Jakobi, J., Brogi, C., Ilias, A., Huisman, J. A., Panagopoulos, A., & Pisinaras, V. (2020). Monitoring of Snowpack Dynamics With Cosmic-Ray Neutron Probes: A Comparison of Four Conversion Methods. Frontiers in Water, 2. https://doi.org/10.3389/frwa.2020.00019
Campanaro, S., Treu, L., Rodriguez-R, L. M., Kovalovszki, A., Ziels, R. M., Maus, I., Zhu, X., Kougias, P. G., Basile, A., Luo, G., Schlüter, A., Konstantinidis, K. T., & Angelidaki, I. (2020). New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters. Biotechnology for Biofuels, 13(1). https://doi.org/10.1186/s13068-020-01679-y
Doulgeris, Ch., Pisinaras, V., Argyroudi, A., Tziritis, E., Hatzigiannakis, E., & Panagopoulos, A. (2020). Impacts on water level fluctuation in lake vegoritida: Insights for the historical and projected climate period. Desalination and Water Treatment, 194, 358–368. https://doi.org/10.5004/dwt.2020.25756
Doulgeris, Ch., Pisinaras, V., Argyroudi, A., Tziritis, E., Hatzigiannakis, E., & Panagopoulos, A. (2020). Impacts on water level fluctuation in lake vegoritida: Insights for the historical and projected climate period. Desalination and Water Treatment, 194, 358–368. https://doi.org/10.5004/dwt.2020.25756
Doulgeris, Ch., Pisinaras, V., Argyroudi, A., Tziritis, E., Hatzigiannakis, E., & Panagopoulos, A. (2020). Impacts on water level fluctuation in lake vegoritida: Insights for the historical and projected climate period. Desalination and Water Treatment, 194, 358–368. https://doi.org/10.5004/dwt.2020.25756
Duan, N., Zhang, D., Khoshnevisan, B., Kougias, P. G., Treu, L., Liu, Z., Lin, C., Liu, H., Zhang, Y., & Angelidaki, I. (2020). Human waste anaerobic digestion as a promising low-carbon strategy: Operating performance, microbial dynamics and environmental footprint. Journal of Cleaner Production, 256. https://doi.org/10.1016/j.jclepro.2020.120414
Ferentinos, K. P., Stavrakas, Y., Nakos, H., Pristouris, K., & Barda, M. S. (2020). Initial Design and Features of an Augmented Reality System for Urban Park Touring and Management. International Journal of Computer Theory and Engineering, 12(5), 106–112. https://doi.org/10.7763/IJCTE.2020.V12.1273
Georgoulis, I., Giantsis, I. A., Lattos, A., Pisinaras, V., Feidantsis, K., Michaelidis, B., Delis, G. A., & Theodoridis, A. (2020). The influence of climatic-oceanographic changes in aquaculture. A case review concerning mussel farming from Vistonikos Bay, Greece. In V. G & K. S (Eds.), CEUR Workshop Proceedings (Vol. 2761, pp. 51–61). CEUR-WS. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097541236&partnerID=40&md5=fb204ec0bde38db748794b6293a55f15
Kougias, P. G., Tsapekos, P., Treu, L., Kostoula, M., Campanaro, S., Lyberatos, G., & Angelidaki, I. (2020). Biological CO2 fixation in up-flow reactors via exogenous H2 addition. Journal of Biotechnology, 319, 1–7. https://doi.org/10.1016/j.jbiotec.2020.05.012
Louhasakul, Y., Cheirsilp, B., Treu, L., Kougias, P. G., & Angelidaki, I. (2020). Metagenomic insights into bioaugmentation and biovalorization of oily industrial wastes by lipolytic oleaginous yeast Yarrowia lipolytica during successive batch fermentation. Biotechnology and Applied Biochemistry, 67(6), 1020–1029. https://doi.org/10.1002/bab.1878
Machleb, J., Peteinatos, G. G., Kollenda, B. L., Andújar, D., & Gerhards, R. (2020). Sensor-based mechanical weed control: Present state and prospects. Computers and Electronics in Agriculture, 176. https://doi.org/10.1016/j.compag.2020.105638
Marks, E. A. N., Kinigopoulou, V., Akrout, H., Azzaz, A. A., Doulgeris, C., Jellali, S., Rad, C., Zulueta, P. S., Tziritis, E., El-Bassi, L., Ghimbeu, C. M., & Jeguirim, M. (2020). Potential for production of biochar-based fertilizers from olive millwaste in mediterranean basin countries: An initial assessment for Spain, Tunisia, and Greece. Sustainability (Switzerland), 12(15). https://doi.org/10.3390/su12156081
Michalopoulos, G., Kasapi, K. A., Koubouris, G., Psarras, G., Arampatzis, G., Hatzigiannakis, E., Kavvadias, V., Xiloyannis, C., Montanaro, G., Malliaraki, S., Angelaki, A., Manolaraki, C., Giakoumaki, G., Reppas, S., Kourgialas, N., & Kokkinos, G. (2020). Adaptation of Mediterranean olive groves to climate change through sustainable cultivation practices. Climate, 8(4). https://doi.org/10.3390/cli8040054
Moreno, H., Rueda-Ayala, V., Ribeiro, A., Bengochea-Guevara, J., Lopez, J., Peteinatos, G., Valero, C., & Andújar, D. (2020). Evaluation of vineyard cropping systems using on-board rgb-depth perception. Sensors (Switzerland), 20(23), 1–14. https://doi.org/10.3390/s20236912
Peteinatos, G. G., Reichel, P., Karouta, J., Andújar, D., & Gerhards, R. (2020). Weed identification in Maize, sunflower, and potatoes with the aid of convolutional neural networks. Remote Sensing, 12(24), 1–22. https://doi.org/10.3390/rs12244185
Petropoulos, G. P., Srivastava, P. K., Ferentinos, K. P., & Hristopoulos, D. (2020). Evaluating the capabilities of optical/TIR imaging sensing systems for quantifying soil water content. Geocarto International, 35(5), 494–511. https://doi.org/10.1080/10106049.2018.1520926
Rezaei, A., Hassani, H., Tziritis, E., Fard Mousavi, S. B., & Jabbari, N. (2020). Hydrochemical characterization and evaluation of groundwater quality in Dalgan basin, SE Iran. Groundwater for Sustainable Development, 10. https://doi.org/10.1016/j.gsd.2020.100353
Spaeth, M., Machleb, J., Peteinatos, G. G., Saile, M., & Gerhards, R. (2020). Smart harrowing-adjusting the treatment intensity based on machine vision to achieve a uniform weed control selectivity under heterogeneous field conditions. Agronomy, 10(12). https://doi.org/10.3390/agronomy10121925
Stippa, S. R., Ferentinos, K. P., & Petropoulos, G. P. (2020). An Exploration of the Panther Mountain Crater Impact Using Spatial Data and GIS Spatial Correlation Analysis Techniques. wiley. https://doi.org/10.1002/9781119359203.ch9
Zhu, X., Campanaro, S., Treu, L., Seshadri, R., Ivanova, N., Kougias, P. G., Kyrpides, N., & Angelidaki, I. (2020). Metabolic dependencies govern microbial syntrophies during methanogenesis in an anaerobic digestion ecosystem. Microbiome, 8(1). https://doi.org/10.1186/s40168-019-0780-9
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Amos, C., Petropoulos, G. P., & Ferentinos, K. P. (2019). Determining the use of Sentinel-2A MSI for wildfire burning & severity detection. International Journal of Remote Sensing, 40(3), 905–930. https://doi.org/10.1080/01431161.2018.1519284
Angelidaki, I., Xie, L., Luo, G., Zhang, Y., Oechsner, H., Lemmer, A., Munoz, R., & Kougias, P. G. (2019). Biogas upgrading: Current and emerging technologies. Elsevier. https://doi.org/10.1016/B978-0-12-816856-1.00033-6
Arampatzis, G., Pisinaras, V., Doulgeris, C., Tziritis, E., Sismani, G., & Panagopoulos, A. (2019). ESTIMATING EROSION ON TWO MEDITERRANEAN WATERSHEDS OF DIFFERENT HYDROLOGICAL REGIMES. In C. L (Ed.), Proceedings of the IAHR World Congress (pp. 4477–4485). International Association for Hydro-Environment Engineering and Research. https://doi.org/10.3850/38WC092019-1292
Arampatzis, G., Pisinaras, V., Doulgeris, C., Tziritis, E., Sismani, G., & Panagopoulos, A. (2019). ESTIMATING EROSION ON TWO MEDITERRANEAN WATERSHEDS OF DIFFERENT HYDROLOGICAL REGIMES. In C. L (Ed.), Proceedings of the IAHR World Congress (pp. 4477–4485). International Association for Hydro-Environment Engineering and Research. https://doi.org/10.3850/38WC092019-1292
Arampatzis, G., Pisinaras, V., Doulgeris, C., Tziritis, E., Sismani, G., & Panagopoulos, A. (2019). ESTIMATING EROSION ON TWO MEDITERRANEAN WATERSHEDS OF DIFFERENT HYDROLOGICAL REGIMES. In C. L (Ed.), Proceedings of the IAHR World Congress (pp. 4477–4485). International Association for Hydro-Environment Engineering and Research. https://doi.org/10.3850/38WC092019-1292
Arampatzis, G., Pisinaras, V., Doulgeris, C., Tziritis, E., Sismani, G., & Panagopoulos, A. (2019). ESTIMATING EROSION ON TWO MEDITERRANEAN WATERSHEDS OF DIFFERENT HYDROLOGICAL REGIMES. In C. L (Ed.), Proceedings of the IAHR World Congress (pp. 4477–4485). International Association for Hydro-Environment Engineering and Research. https://doi.org/10.3850/38WC092019-1292
Barzegar, R., Asghari Moghaddam, A., Soltani, S., Fijani, E., Tziritis, E., & Kazemian, N. (2019). Heavy Metal(loid)s in the Groundwater of Shabestar Area (NW Iran): Source Identification and Health Risk Assessment. Exposure and Health, 11(4), 251–265. https://doi.org/10.1007/s12403-017-0267-5
Barzegar, R., Asghari Moghaddam, A., Soltani, S., Baomid, N., Tziritis, E., Adamowski, J., & Inam, A. (2019). Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran. Environmental Earth Sciences, 78(8). https://doi.org/10.1007/s12665-019-8250-z
Cass, A., Petropoulos, G. P., Ferentinos, K. P., Pavlides, A., & Srivastava, P. K. (2019). Exploring the synergy between Landsat and ASAR towards improving thematic mapping accuracy of optical EO data. Applied Geomatics, 11(3), 277–288. https://doi.org/10.1007/s12518-019-00258-7
Ferentinos, K. P., Barda, M., & Damer, D. (2019). An image-based deep learning model for cannabis diseases, nutrient deficiencies and pests identification. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11804 LNAI, 134–145. https://doi.org/10.1007/978-3-030-30241-2_12
Fijani, E., Barzegar, R., Deo, R., Tziritis, E., & Konstantinos, S. (2019). Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters. Science of the Total Environment, 648, 839–853. https://doi.org/10.1016/j.scitotenv.2018.08.221
Kalpakis, V., Kokkos, N., Pisinaras, V., & Sylaios, G. (2019). An integrated coastal zone observatory at municipal level: the case of Kavala Municipality, NE Greece. Journal of Coastal Conservation, 23(1), 149–162. https://doi.org/10.1007/s11852-018-0646-5
Linn, A. I., Mink, R., Peteinatos, G. G., & Gerhards, R. (2019). In-field classification of herbicide-resistant Papaver rhoeas and Stellaria media using an imaging sensor of the maximum quantum efficiency of photosystem II. Weed Research, 59(5), 357–366. https://doi.org/10.1111/wre.12374
Martinez-Guanter, J., Ribeiro, Á., Peteinatos, G. G., Pérez-Ruiz, M., Gerhards, R., Bengochea-Guevara, J. M., Machleb, J., & Andújar, D. (2019). Low-cost three-dimensional modeling of crop plants. Sensors (Switzerland), 19(13). https://doi.org/10.3390/s19132883
Peteinatos, G. G., Kollenda, B., Wang, P., & Gerhards, R. (2019). A new logarithmic sprayer for dose-response studies in the field. Computers and Electronics in Agriculture, 157, 166–172. https://doi.org/10.1016/j.compag.2018.12.017
Peteinatos, G. G., Sökefeld, M., Machleb, J., Cambel, K., & Gerhards, R. (2019). Identifying the Fusarium spp. Infestation in winter wheat based on RGB imaginary. In S. J.V (Ed.), Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 (pp. 225–230). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-888-9_27
Porté, H., Kougias, P. G., Alfaro, N., Treu, L., Campanaro, S., & Angelidaki, I. (2019). Process performance and microbial community structure in thermophilic trickling biofilter reactors for biogas upgrading. Science of the Total Environment, 655, 529–538. https://doi.org/10.1016/j.scitotenv.2018.11.289
Sun, H., Kovalovszki, A., Tsapekos, P., Alvarado-Morales, M., Rudatis, A., Wu, S., Dong, R., Kougias, P. G., & Angelidaki, I. (2019). Co-digestion of Laminaria digitata with cattle manure: A unimodel simulation study of both batch and continuous experiments. Bioresource Technology, 276, 361–368. https://doi.org/10.1016/j.biortech.2018.12.110
Travlos, I. S., Montull, J. M., Kukorelli, G., Malidza, G., Dogan, M. N., Cheimona, N., Antonopoulos, N., Kanatas, P. J., Zannopoulos, S., & Peteinatos, G. (2019). Key Aspects on the Biology, Ecology and Impacts of Johnsongrass [Sorghum halepense (L.) Pers] and the Role of Glyphosate and Non-Chemical Alternative Practices for the Management of This Weed in Europe. Agronomy, 9(11). https://doi.org/10.3390/agronomy9110717
Treu, L., Tsapekos, P., Peprah, M., Campanaro, S., Giacomini, A., Corich, V., Kougias, P. G., & Angelidaki, I. (2019). Microbial profiling during anaerobic digestion of cheese whey in reactors operated at different conditions. Bioresource Technology, 275, 375–385. https://doi.org/10.1016/j.biortech.2018.12.084
Tsakmakis, I. D., Kokkos, N. P., Gikas, G. D., Pisinaras, V., Hatzigiannakis, E., Arampatzis, G., & Sylaios, G. K. (2019). Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns. Agricultural Water Management, 213, 419–432. https://doi.org/10.1016/j.agwat.2018.10.029
Tsakmakis, I. D., Kokkos, N. P., Gikas, G. D., Pisinaras, V., Hatzigiannakis, E., Arampatzis, G., & Sylaios, G. K. (2019). Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns. Agricultural Water Management, 213, 419–432. https://doi.org/10.1016/j.agwat.2018.10.029
Tsapekos, P., Alvarado-Morales, M., Kougias, P. G., Konstantopoulos, K., & Angelidaki, I. (2019). Co-digestion of municipal waste biopulp with marine macroalgae focusing on sodium inhibition. Energy Conversion and Management, 180, 931–937. https://doi.org/10.1016/j.enconman.2018.11.048
Tsapekos, P., Khoshnevisan, B., Alvarado-Morales, M., Symeonidis, A., Kougias, P. G., & Angelidaki, I. (2019). Environmental impacts of biogas production from grass: Role of co-digestion and pretreatment at harvesting time. Applied Energy, 252. https://doi.org/10.1016/j.apenergy.2019.113467
Zhu, X., Campanaro, S., Treu, L., Kougias, P. G., & Angelidaki, I. (2019). Novel ecological insights and functional roles during anaerobic digestion of saccharides unveiled by genome-centric metagenomics. Water Research, 151, 271–279. https://doi.org/10.1016/j.watres.2018.12.041
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Angelidaki, I., Treu, L., Tsapekos, P., Luo, G., Campanaro, S., Wenzel, H., & Kougias, P. G. (2018). Biogas upgrading and utilization: Current status and perspectives. Biotechnology Advances, 36(2), 452–466. https://doi.org/10.1016/j.biotechadv.2018.01.011
Arampatzis, G., Hatzigiannakis, E., Panagopoulos, A., Karyoti, A., Vrouchakis, I., & Karyotis, T. (2018). Water scarcity and inputs of nutrients from irrigation in olive groves of Crete Island, Greece. Journal of Plant Nutrition, 41(17), 2232–2240. https://doi.org/10.1080/01904167.2018.1500589
Arampatzis, G., Panagopoulos, A., Pisinaras, V., Tziritis, E., & Wendland, F. (2018). Identifying potential effects of climate change on the development of water resources in Pinios River Basin, Central Greece. Applied Water Science, 8(2). https://doi.org/10.1007/s13201-018-0690-1
Arampatzis, G., Hatzigiannakis, E., Pisinaras, V., Kourgialas, N., Psarras, G., Kinigopoulou, V., Panagopoulos, A., & Koubouris, G. (2018). Soil water content and olive tree yield responses to soil management, irrigation, and precipitation in a hilly mediterranean area. Journal of Water and Climate Change, 9(4), 672–678. https://doi.org/10.2166/wcc.2018.224
Arampatzis, G., Hatzigiannakis, E., Kourgialas, N., Psarras, G., Kinigopoulou, V., Panagopoulos, A., & Koubouris, G. (2018). Seasonal variation and implications of soil water content in the cultivation of olive trees. Acta Horticulturae, 1199, 339–343. https://doi.org/10.17660/ActaHortic.2018.1199.53
Arampatzis, G., Panagopoulos, A., Pisinaras, V., Tziritis, E., & Wendland, F. (2018). Identifying potential effects of climate change on the development of water resources in Pinios River Basin, Central Greece. Applied Water Science, 8(2). https://doi.org/10.1007/s13201-018-0690-1
Arampatzis, G., Panagopoulos, A., Pisinaras, V., Tziritis, E., & Wendland, F. (2018). Identifying potential effects of climate change on the development of water resources in Pinios River Basin, Central Greece. Applied Water Science, 8(2). https://doi.org/10.1007/s13201-018-0690-1
Arampatzis, G., Hatzigiannakis, E., Pisinaras, V., Kourgialas, N., Psarras, G., Kinigopoulou, V., Panagopoulos, A., & Koubouris, G. (2018). Soil water content and olive tree yield responses to soil management, irrigation, and precipitation in a hilly mediterranean area. Journal of Water and Climate Change, 9(4), 672–678. https://doi.org/10.2166/wcc.2018.224
Arampatzis, G., Hatzigiannakis, E., Pisinaras, V., Kourgialas, N., Psarras, G., Kinigopoulou, V., Panagopoulos, A., & Koubouris, G. (2018). Soil water content and olive tree yield responses to soil management, irrigation, and precipitation in a hilly mediterranean area. Journal of Water and Climate Change, 9(4), 672–678. https://doi.org/10.2166/wcc.2018.224
Arampatzis, G., Hatzigiannakis, E., Kourgialas, N., Psarras, G., Kinigopoulou, V., Panagopoulos, A., & Koubouris, G. (2018). Seasonal variation and implications of soil water content in the cultivation of olive trees. Acta Horticulturae, 1199, 339–343. https://doi.org/10.17660/ActaHortic.2018.1199.53
Arampatzis, G., Panagopoulos, A., Pisinaras, V., Tziritis, E., & Wendland, F. (2018). Identifying potential effects of climate change on the development of water resources in Pinios River Basin, Central Greece. Applied Water Science, 8(2). https://doi.org/10.1007/s13201-018-0690-1
Arampatzis, G., Hatzigiannakis, E., Panagopoulos, A., Karyoti, A., Vrouchakis, I., & Karyotis, T. (2018). Water scarcity and inputs of nutrients from irrigation in olive groves of Crete Island, Greece. Journal of Plant Nutrition, 41(17), 2232–2240. https://doi.org/10.1080/01904167.2018.1500589
Barzegar, R., Moghaddam, A. A., Deo, R., Fijani, E., & Tziritis, E. (2018). Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms. Science of the Total Environment, 621, 697–712. https://doi.org/10.1016/j.scitotenv.2017.11.185
Brown, A. R., Petropoulos, G. P., & Ferentinos, K. P. (2018). Appraisal of the Sentinel-1 & 2 use in a large-scale wildfire assessment: A case study from Portugal’s fires of 2017. Applied Geography, 100, 78–89. https://doi.org/10.1016/j.apgeog.2018.10.004
Campanaro, S., Treu, L., Kougias, P. G., Zhu, X., & Angelidaki, I. (2018). Taxonomy of anaerobic digestion microbiome reveals biases associated with the applied high throughput sequencing strategies. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-20414-0
Campanaro, S., Treu, L., Kougias, P. G., Luo, G., & Angelidaki, I. (2018). Metagenomic binning reveals the functional roles of core abundant microorganisms in twelve full-scale biogas plants. Water Research, 140, 123–134. https://doi.org/10.1016/j.watres.2018.04.043
Colson, D., Petropoulos, G. P., & Ferentinos, K. P. (2018). Exploring the Potential of Sentinels-1 & 2 of the Copernicus Mission in Support of Rapid and Cost-effective Wildfire Assessment. International Journal of Applied Earth Observation and Geoinformation, 73, 262–276. https://doi.org/10.1016/j.jag.2018.06.011
Corbellini, V., Kougias, P. G., Treu, L., Bassani, I., Malpei, F., & Angelidaki, I. (2018). Hybrid biogas upgrading in a two-stage thermophilic reactor. Energy Conversion and Management, 168, 1–10. https://doi.org/10.1016/j.enconman.2018.04.074
Duan, N., Ran, X., Li, R., Kougias, P. G., Zhang, Y., Lin, C., & Liu, H. (2018). Performance evaluation of mesophilic anaerobic digestion of chicken manure with algal digestate. Energies, 11(7). https://doi.org/10.3390/en11071829
Elvanidi, A., Katsoulas, N., Ferentinos, K. P., Bartzanas, T., & Kittas, C. (2018). Hyperspectral machine vision as a tool for water stress severity assessment in soilless tomato crop. Biosystems Engineering, 165, 25–35. https://doi.org/10.1016/j.biosystemseng.2017.11.002
Esmaeili, S., Asghari Moghaddam, A., Barzegar, R., & Tziritis, E. (2018). Multivariate statistics and hydrogeochemical modeling for source identification of major elements and heavy metals in the groundwater of Qareh-Ziaeddin plain, NW Iran. Arabian Journal of Geosciences, 11(1). https://doi.org/10.1007/s12517-017-3317-1
Evangelides, C., & Arampatzis, G. (2018). Data for moisture measurements during vertical absorption in building porous materials such as brick and limestone. Data in Brief, 17, 575–578. https://doi.org/10.1016/j.dib.2018.01.067
Evangelides, C., Arampatzis, G., Tsambali, A.-A., Tzanetaki, E., & Tzimopoulos, C. (2018). Moisture estimation in building materials with a simple procedure. Construction and Building Materials, 164, 830–836. https://doi.org/10.1016/j.conbuildmat.2017.12.138
Ferentinos, K. P. (2018). Deep learning models for plant disease detection and diagnosis. Computers and Electronics in Agriculture, 145, 311–318. https://doi.org/10.1016/j.compag.2018.01.009
Fontana, A., Campanaro, S., Treu, L., Kougias, P. G., Cappa, F., Morelli, L., & Angelidaki, I. (2018). Performance and genome-centric metagenomics of thermophilic single and two-stage anaerobic digesters treating cheese wastes. Water Research, 134, 181–191. https://doi.org/10.1016/j.watres.2018.02.001
Fontana, A., Kougias, P. G., Treu, L., Kovalovszki, A., Valle, G., Cappa, F., Morelli, L., Angelidaki, I., & Campanaro, S. (2018). Microbial activity response to hydrogen injection in thermophilic anaerobic digesters revealed by genome-centric metatranscriptomics. Microbiome, 6(1). https://doi.org/10.1186/s40168-018-0583-4
Katsoulas, N., Elvanidi, A., Bartzanas, T., Ferentinos, K. P., & Kittas, C. (2018). Sensing crop reflectance for water stress detection in greenhouses. Acta Horticulturae, 1197, 117–126. https://doi.org/10.17660/ActaHortic.2018.1197.16
Kavallieratos, N. G., Athanassiou, C. G., Peteinatos, G. G., Boukouvala, M. C., & Benelli, G. (2018). Insecticidal effect and impact of fitness of three diatomaceous earths on different maize hybrids for the eco-friendly control of the invasive stored-product pest Prostephanus truncatus (Horn). Environmental Science and Pollution Research, 25(11), 10407–10417. https://doi.org/10.1007/s11356-017-9565-5
Kougias, P. G., & Angelidaki, I. (2018). Biogas and its opportunities—A review. Frontiers of Environmental Science and Engineering, 12(3). https://doi.org/10.1007/s11783-018-1037-8
Kougias, P. G., Campanaro, S., Treu, L., Tsapekos, P., Armani, A., & Angelidaki, I. (2018). Spatial distribution and diverse metabolic functions of lignocellulose-degrading uncultured bacteria as revealed by genomecentric metagenomics. Applied and Environmental Microbiology, 84(18). https://doi.org/10.1128/AEM.01244-18
Kunz, C., Weber, J. F., Peteinatos, G. G., Sökefeld, M., & Gerhards, R. (2018). Camera steered mechanical weed control in sugar beet, maize and soybean. Precision Agriculture, 19(4), 708–720. https://doi.org/10.1007/s11119-017-9551-4
Li, L., Li, J., Wang, H., Georgieva, Ts., Ferentinos, K. P., Arvanitis, K. G., & Sigrimis, N. A. (2018). Sustainable energy management of solar greenhouses using open weather data on MACQU platform. International Journal of Agricultural and Biological Engineering, 11(1), 74–82. https://doi.org/10.25165/j.ijabe.20181101.2713
Machleb, J., Kollenda, B. L., Peteinatos, G. G., & Gerhards, R. (2018). Adjustment of weed hoeing to narrowly spaced cereals. Agriculture (Switzerland), 8(4). https://doi.org/10.3390/agriculture8040054
Mink, R., Dutta, A., Peteinatos, G. G., Sökefeld, M., Engels, J. J., Hahn, M., & Gerhards, R. (2018). Multi-temporal site-specific weed control of Cirsium arvense (L.) scop. and Rumex crispus L. in maize and sugar beet using unmanned aerial vehicle based mapping. Agriculture (Switzerland), 8(5). https://doi.org/10.3390/agriculture8050065
Omar, B., Abou-Shanab, R., El-Gammal, M., Fotidis, I. A., Kougias, P. G., Zhang, Y., & Angelidaki, I. (2018). Simultaneous biogas upgrading and biochemicals production using anaerobic bacterial mixed cultures. Water Research, 142, 86–95. https://doi.org/10.1016/j.watres.2018.05.049
Pisinaras, V., Panagopoulos, A., Herrmann, F., Bogena, H. R., Doulgeris, C., Ilias, A., Tziritis, E., & Wendland, F. (2018). Hydrologic and geochemical research at pinios hydrologic observatory: Initial results. Vadose Zone Journal, 17(1). https://doi.org/10.2136/vzj2018.05.0102
Pisinaras, V., Panagopoulos, A., Herrmann, F., Bogena, H. R., Doulgeris, C., Ilias, A., Tziritis, E., & Wendland, F. (2018). Hydrologic and geochemical research at pinios hydrologic observatory: Initial results. Vadose Zone Journal, 17(1). https://doi.org/10.2136/vzj2018.05.0102
Pisinaras, V., Panagopoulos, A., Herrmann, F., Bogena, H. R., Doulgeris, C., Ilias, A., Tziritis, E., & Wendland, F. (2018). Hydrologic and geochemical research at pinios hydrologic observatory: Initial results. Vadose Zone Journal, 17(1). https://doi.org/10.2136/vzj2018.05.0102
Rahmati, M., Weihermüller, L., Vanderborght, J., Pachepsky, Y. A., Mao, L., Sadeghi, S. H., Moosavi, N., Kheirfam, H., Montzka, C., Van Looy, K., Toth, B., Hazbavi, Z., Al Yamani, W., Albalasmeh, A. A., Alghzawi, M. Z., Angulo-Jaramillo, R., Antonino, A. C. D., Arampatzis, G., Armindo, R. A., … Vereecken, H. (2018). Development and analysis of the Soil Water Infiltration Global database. Earth System Science Data, 10(3), 1237–1263. https://doi.org/10.5194/essd-10-1237-2018
Rahmati, M., Weihermüller, L., Vanderborght, J., Pachepsky, Y. A., Mao, L., Sadeghi, S. H., Moosavi, N., Kheirfam, H., Montzka, C., Van Looy, K., Toth, B., Hazbavi, Z., Al Yamani, W., Albalasmeh, A. A., Alghzawi, M. Z., Angulo-Jaramillo, R., Antonino, A. C. D., Arampatzis, G., Armindo, R. A., … Vereecken, H. (2018). Development and analysis of the Soil Water Infiltration Global database. Earth System Science Data, 10(3), 1237–1263. https://doi.org/10.5194/essd-10-1237-2018
Schappert, A., Messelhäuser, M. H., Saile, M., Peteinatos, G. G., & Gerhards, R. (2018). Weed suppressive ability of cover crop mixtures compared to repeated stubble tillage and glyphosate treatments. Agriculture (Switzerland), 8(9). https://doi.org/10.3390/agriculture8090144
Sturm, D. J., Peteinatos, G., & Gerhards, R. (2018). Contribution of allelopathic effects to the overall weed suppression by different cover crops. Weed Research, 58(5), 331–337. https://doi.org/10.1111/wre.12316
Treu, L., Kougias, P. G., de Diego-Díaz, B., Campanaro, S., Bassani, I., Fernández-Rodríguez, J., & Angelidaki, I. (2018). Two-year microbial adaptation during hydrogen-mediated biogas upgrading process in a serial reactor configuration. Bioresource Technology, 264, 140–147. https://doi.org/10.1016/j.biortech.2018.05.070
Treu, L., Campanaro, S., Kougias, P. G., Sartori, C., Bassani, I., & Angelidaki, I. (2018). Hydrogen-fueled microbial pathways in biogas upgrading systems revealed by genome-centric metagenomics. Frontiers in Microbiology, 9(MAY). https://doi.org/10.3389/fmicb.2018.01079
Tsapekos, P., Kougias, P. G., Alvarado-Morales, M., Kovalovszki, A., Corbière, M., & Angelidaki, I. (2018). Energy recovery from wastewater microalgae through anaerobic digestion process: Methane potential, continuous reactor operation and modelling aspects. Biochemical Engineering Journal, 139, 1–7. https://doi.org/10.1016/j.bej.2018.08.004
Tsapekos, P., Kougias, P. G., & Angelidaki, I. (2018). Mechanical pretreatment for increased biogas production from lignocellulosic biomass; predicting the methane yield from structural plant components. Waste Management, 78, 903–910. https://doi.org/10.1016/j.wasman.2018.07.017
Tsapekos, P., Kougias, P. G., Kuthiala, S., & Angelidaki, I. (2018). Co-digestion and model simulations of source separated municipal organic waste with cattle manure under batch and continuously stirred tank reactors. Energy Conversion and Management, 159, 1–6. https://doi.org/10.1016/j.enconman.2018.01.002
Wang, P., Peteinatos, G., Li, H., Brändle, F., Pfündel, E., Drobny, H. G., & Gerhards, R. (2018). Rapid monitoring of herbicide-resistant Alopecurus myosuroides Huds. using chlorophyll fluorescence imaging technology. Journal of Plant Diseases and Protection, 125(2), 187–195. https://doi.org/10.1007/s41348-017-0131-7
Whyte, A., Ferentinos, K. P., & Petropoulos, G. P. (2018). A new synergistic approach for monitoring wetlands using Sentinels -1 and 2 data with object-based machine learning algorithms. Environmental Modelling and Software, 104, 40–54. https://doi.org/10.1016/j.envsoft.2018.01.023
Zecha, C. W., Peteinatos, G. G., Link, J., & Claupein, W. (2018). Utilisation of ground and airborne optical sensors for nitrogen level identification and yield prediction in wheat. Agriculture (Switzerland), 8(6). https://doi.org/10.3390/agriculture8060079
6216836 2017 1 apa 50 creator asc 1939 https://swri.gr/wp-content/plugins/zotpress/
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Barzegar, R., Moghaddam, A. A., Tziritis, E., Fakhri, M. S., & Soltani, S. (2017). Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran. Environmental Earth Sciences, 76(7). https://doi.org/10.1007/s12665-017-6612-y
Barzegar, R., Fijani, E., Asghari Moghaddam, A., & Tziritis, E. (2017). Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models. Science of the Total Environment, 599–600, 20–31. https://doi.org/10.1016/j.scitotenv.2017.04.189
Barzegar, R., Asghari Moghaddam, A., & Tziritis, E. (2017). Erratum to: Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran (Environmental Earth Sciences, (2016), 75, 23, (1486), 10.1007/s12665-016-6302-1). Environmental Earth Sciences, 76(15). https://doi.org/10.1007/s12665-017-6837-9
Barzegar, R., Asghari Moghaddam, A., & Tziritis, E. (2017). Hydrogeochemical features of groundwater resources in Tabriz plain, northwest of Iran. Applied Water Science, 7(7), 3997–4011. https://doi.org/10.1007/s13201-017-0550-4
Bassani, I., Kougias, P. G., Treu, L., Porté, H., Campanaro, S., & Angelidaki, I. (2017). Optimization of hydrogen dispersion in thermophilic up-flow reactors for ex situ biogas upgrading. Bioresource Technology, 234, 310–319. https://doi.org/10.1016/j.biortech.2017.03.055
Campanaro, S., Treu, L., Cattani, M., Kougias, P. G., Vendramin, V., Schiavon, S., Tagliapietra, F., Giacomini, A., & Corich, V. (2017). In vitro fermentation of key dietary compounds with rumen fluid: A genome-centric perspective. Science of the Total Environment, 584–585, 683–691. https://doi.org/10.1016/j.scitotenv.2017.01.096
Elvanidi, A., Katsoulas, N., Bartzanas, T., Ferentinos, K. P., & Kittas, C. (2017). Crop water status assessment in controlled environment using crop reflectance and temperature measurements. Precision Agriculture, 18(3), 332–349. https://doi.org/10.1007/s11119-016-9492-3
Elvanidi, A., Katsoulas, N., Bartzanas, T., Ferentinos, K. P., & Kittas, C. (2017). Assessment of crop water status by means of crop reflectance. Acta Horticulturae, 1164, 297–304. https://doi.org/10.17660/ActaHortic.2017.1164.37
Evangelides, C., Arampatzis, G., & Tzimopoulos, C. (2017). Fuzzy logic regression analysis for groundwater quality characteristics. Desalination and Water Treatment, 95, 45–50. https://doi.org/10.5004/dwt.2017.21525
Evangelides, C., Arampatzis, G., & Tzimopoulos, C. (2017). Soil water diffusivity obtained from visual inspection experiment and comparison with γ-ray measurements. Desalination and Water Treatment, 86, 327–331. https://doi.org/10.5004/dwt.2017.20655
Ferentinos, K. P., Katsoulas, N., Tzounis, A., Bartzanas, T., & Kittas, C. (2017). Wireless sensor networks for greenhouse climate and plant condition assessment. Biosystems Engineering, 153, 70–81. https://doi.org/10.1016/j.biosystemseng.2016.11.005
Jing, Y., Campanaro, S., Kougias, P., Treu, L., Angelidaki, I., Zhang, S., & Luo, G. (2017). Anaerobic granular sludge for simultaneous biomethanation of synthetic wastewater and CO with focus on the identification of CO-converting microorganisms. Water Research, 126, 19–28. https://doi.org/10.1016/j.watres.2017.09.018
Katsoulas, N., Ferentinos, K. P., Tzounis, A., Bartzanas, T., & Kittas, C. (2017). Operation reliability of wireless sensor networks in greenhouse conditions. Acta Horticulturae, 1170, 867–874. https://doi.org/10.17660/ActaHortic.2017.1170.111
Katsoulas, N., Ferentinos, K. P., Tzounis, A., Bartzanas, T., & Kittas, C. (2017). Spatially distributed greenhouse climate control based on wireless sensor network measurements. Acta Horticulturae, 1154, 111–119. https://doi.org/10.17660/ActaHortic.2017.1154.15
Kittas, C., Elvanidi, A., Ferentinos, K. P., Bartzanas, T., & Katsoulas, N. (2017). Crop temperature measurements for crop water status identification in greenhouses. Acta Horticulturae, 1170, 695–701. https://doi.org/10.17660/ActaHortic.2017.1170.87
Kougias, P. G., Treu, L., Benavente, D. P., Boe, K., Campanaro, S., & Angelidaki, I. (2017). Ex-situ biogas upgrading and enhancement in different reactor systems. Bioresource Technology, 225, 429–437. https://doi.org/10.1016/j.biortech.2016.11.124
Kougias, P. G., Campanaro, S., Treu, L., Zhu, X., & Angelidaki, I. (2017). A novel archaeal species belonging to Methanoculleus genus identified via de-novo assembly and metagenomic binning process in biogas reactors. Anaerobe, 46, 23–32. https://doi.org/10.1016/j.anaerobe.2017.02.009
Li, J., Li, L., Wang, H., Ferentinos, K. P., Li, M., & Sigrimis, N. (2017). Proactive energy management of solar greenhouses with risk assessment to enhance smart specialisation in China. Biosystems Engineering, 158, 10–22. https://doi.org/10.1016/j.biosystemseng.2017.03.007
Lovato, G., Alvarado-Morales, M., Kovalovszki, A., Peprah, M., Kougias, P. G., Rodrigues, J. A. D., & Angelidaki, I. (2017). In-situ biogas upgrading process: Modeling and simulations aspects. Bioresource Technology, 245, 332–341. https://doi.org/10.1016/j.biortech.2017.08.181
Ougiaroglou, S., Arampatzis, G., Dervos, D. A., & Evangelidis, G. (2017). Generating fixed-size training sets for large and streaming datasets. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10509 LNCS, 88–102. https://doi.org/10.1007/978-3-319-66917-5_7
Soltani, S., Asghari Moghaddam, A., Barzegar, R., Kazemian, N., & Tziritis, E. (2017). Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index. Environmental Monitoring and Assessment, 189(9). https://doi.org/10.1007/s10661-017-6171-4
Sturm, D. J., Kunz, C., Peteinatos, G., & Gerhards, R. (2017). Do cover crop sowing date and fertilization affect field weed suppression? Plant, Soil and Environment, 63(2), 82–88. https://doi.org/10.17221/1/2017-PSE
Tsakmakis, I., Kokkos, N., Pisinaras, V., Papaevangelou, V., Hatzigiannakis, E., Arampatzis, G., Gikas, G. D., Linker, R., Zoras, S., Evagelopoulos, V., Tsihrintzis, V. A., Battilani, A., & Sylaios, G. (2017). Operational Precise Irrigation for Cotton Cultivation through the Coupling of Meteorological and Crop Growth Models. Water Resources Management, 31(1), 563–580. https://doi.org/10.1007/s11269-016-1548-7
Tsakmakis, I., Kokkos, N., Pisinaras, V., Papaevangelou, V., Hatzigiannakis, E., Arampatzis, G., Gikas, G. D., Linker, R., Zoras, S., Evagelopoulos, V., Tsihrintzis, V. A., Battilani, A., & Sylaios, G. (2017). Operational Precise Irrigation for Cotton Cultivation through the Coupling of Meteorological and Crop Growth Models. Water Resources Management, 31(1), 563–580. https://doi.org/10.1007/s11269-016-1548-7
Tsapekos, P., Kougias, P. G., Vasileiou, S. A., Treu, L., Campanaro, S., Lyberatos, G., & Angelidaki, I. (2017). Bioaugmentation with hydrolytic microbes to improve the anaerobic biodegradability of lignocellulosic agricultural residues. Bioresource Technology, 234, 350–359. https://doi.org/10.1016/j.biortech.2017.03.043
Tsapekos, P., Kougias, P. G., Egelund, H., Larsen, U., Pedersen, J., Trénel, P., & Angelidaki, I. (2017). Improving the energy balance of grass-based anaerobic digestion through combined harvesting and pretreatment. Anaerobe, 46, 131–137. https://doi.org/10.1016/j.anaerobe.2016.12.005
Tsapekos, P., Kougias, P. G., Egelund, H., Larsen, U., Pedersen, J., Trénel, P., & Angelidaki, I. (2017). Mechanical pretreatment at harvesting increases the bioenergy output from marginal land grasses. Renewable Energy, 111, 914–921. https://doi.org/10.1016/j.renene.2017.04.061
Tsapekos, P., Kougias, P. G., Vasileiou, S. A., Lyberatos, G., & Angelidaki, I. (2017). Effect of micro-aeration and inoculum type on the biodegradation of lignocellulosic substrate. Bioresource Technology, 225, 246–253. https://doi.org/10.1016/j.biortech.2016.11.081
Tsapekos, P., Kougias, P. G., Treu, L., Campanaro, S., & Angelidaki, I. (2017). Process performance and comparative metagenomic analysis during co-digestion of manure and lignocellulosic biomass for biogas production. Applied Energy, 185, 126–135. https://doi.org/10.1016/j.apenergy.2016.10.081
Tziritis, E., & Lombardo, L. (2017). Estimation of intrinsic aquifer vulnerability with index-overlay and statistical methods: the case of eastern Kopaida, central Greece. Applied Water Science, 7(5), 2215–2229. https://doi.org/10.1007/s13201-016-0397-0
Tziritis, E. P., Datta, P. S., & Barzegar, R. (2017). Characterization and Assessment of Groundwater Resources in a Complex Hydrological Basin of Central Greece (Kopaida basin) with the Joint Use of Hydrogeochemical Analysis, Multivariate Statistics and Stable Isotopes. Aquatic Geochemistry, 23(4), 271–298. https://doi.org/10.1007/s10498-017-9322-x
Weber, J. F., Kunz, C., Peteinatos, G. G., Zikeli, S., & Gerhards, R. (2017). Weed control using conventional tillage, reduced tillage, no-tillage, and cover crops in organic soybean. Agriculture (Switzerland), 7(5). https://doi.org/10.3390/agriculture7050043
Weber, J. F., Kunz, C., Peteinatos, G. G., Santel, H.-J., & Gerhards, R. (2017). Utilization of Chlorophyll Fluorescence Imaging Technology to Detect Plant Injury by Herbicides in Sugar Beet and Soybean. Weed Technology, 31(4), 523–535. https://doi.org/10.1017/wet.2017.22
Yialouris, C. P., & Ferentinos, K. P. (2017). Time-series processing for portable biosensors and mobile platforms for automated pattern recognition. Institution of Engineering and Technology. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116982192&partnerID=40&md5=2dfb068dbf18529c6d93ee7fc91a83a4
Zhu, X., Treu, L., Kougias, P. G., Campanaro, S., & Angelidaki, I. (2017). Characterization of the planktonic microbiome in upflow anaerobic sludge blanket reactors during adaptation of mesophilic methanogenic granules to thermophilic operational conditions. Anaerobe, 46, 69–77. https://doi.org/10.1016/j.anaerobe.2016.12.015
Zhu, X., Kougias, P. G., Treu, L., Campanaro, S., & Angelidaki, I. (2017). Microbial community changes in methanogenic granules during the transition from mesophilic to thermophilic conditions. Applied Microbiology and Biotechnology, 101(3), 1313–1322. https://doi.org/10.1007/s00253-016-8028-0
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Barzegar, R., Asghari Moghaddam, A., & Tziritis, E. (2016). Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran. Environmental Earth Sciences, 75(23). https://doi.org/10.1007/s12665-016-6302-1
Bassani, I., Kougias, P. G., & Angelidaki, I. (2016). In-situ biogas upgrading in thermophilic granular UASB reactor: key factors affecting the hydrogen mass transfer rate. Bioresource Technology, 221, 485–491. https://doi.org/10.1016/j.biortech.2016.09.083
Campanaro, S., Treu, L., Kougias, P. G., De Francisci, D., Valle, G., & Angelidaki, I. (2016). Metagenomic analysis and functional characterization of the biogas microbiome using high throughput shotgun sequencing and a novel binning strategy. Biotechnology for Biofuels, 9(1). https://doi.org/10.1186/s13068-016-0441-1
Filippidis, A., Tziritis, E., Kantiranis, N., Tzamos, E., Gamaletsos, P., Papastergios, G., & Filippidis, S. (2016). Application of Hellenic Natural Zeolite in Thessaloniki industrial area wastewater treatment. Desalination and Water Treatment, 57(42), 19702–19712. https://doi.org/10.1080/19443994.2015.1103314
Hatzigiannakis, E., Filintas, A., Ilias, A., Panagopoulos, A., Arampatzis, G., & Hatzispiroglou, I. (2016). Hydrological and rating curve modelling of Pinios River water flows in Central Greece, for environmental and agricultural water resources management. Desalination and Water Treatment, 57(25), 11639–11659. https://doi.org/10.1080/19443994.2015.1123191
Hatzigiannakis, E., Pantelakis, D., Hatzispiroglou, I., Arampatzis, G., Ilias, A., & Panagopoulos, A. (2016). Discharge Measurements and Roughness Coefficient Estimation in a River. The Case of Strymonas River in Northern Greece. Environmental Processes, 3(1), 263–275. https://doi.org/10.1007/s40710-015-0120-4
Hatzigiannakis, E., Pantelakis, D., Hatzispiroglou, I., Arampatzis, G., Ilias, A., & Panagopoulos, A. (2016). Discharge Measurements and Roughness Coefficient Estimation in a River. The Case of Strymonas River in Northern Greece. Environmental Processes, 3(1), 263–275. https://doi.org/10.1007/s40710-015-0120-4
Hatzigiannakis, E., Filintas, A., Ilias, A., Panagopoulos, A., Arampatzis, G., & Hatzispiroglou, I. (2016). Hydrological and rating curve modelling of Pinios River water flows in Central Greece, for environmental and agricultural water resources management. Desalination and Water Treatment, 57(25), 11639–11659. https://doi.org/10.1080/19443994.2015.1123191
Katsoulas, N., Elvanidi, A., Ferentinos, K. P., Kacira, M., Bartzanas, T., & Kittas, C. (2016). Crop reflectance monitoring as a tool for water stress detection in greenhouses: A review. Biosystems Engineering, 151, 374–398. https://doi.org/10.1016/j.biosystemseng.2016.10.003
Katsoulas, N., Elvanidi, A., Ferentinos, K. P., Kittas, C., & Bartzanas, T. (2016). Calibration methodology of a hyperspectral imaging system for greenhouse plant water status assessment. Acta Horticulturae, 1142, 119–126. https://doi.org/10.17660/ActaHortic.2016.1142.19
Kittas, C., Elvanidi, A., Katsoulas, N., Ferentinos, K. P., & Bartzanas, T. (2016). Reflectance indices for the detection of water stress in greenhouse tomato (Solanum lycopersicum). Acta Horticulturae, 1112, 63–70. https://doi.org/10.17660/ActaHortic.2016.1112.9
Kougias, P. G., Treu, L., Campanaro, S., Zhu, X., & Angelidaki, I. (2016). Dynamic functional characterization and phylogenetic changes due to Long Chain Fatty Acids pulses in biogas reactors. Scientific Reports, 6. https://doi.org/10.1038/srep28810
Kunz, C., Sturm, D. J., Peteinatos, G. G., & Gerhards, R. (2016). Weed Suppression of Living Mulch in Sugar Beets; [Unkrautunterdrückung durch Untersaaten in Zuckerrüben]. Gesunde Pflanzen, 68(3), 145–154. https://doi.org/10.1007/s10343-016-0370-8
Panagopoulos, A., Arampatzis, G., Tziritis, E., Pisinaras, V., Herrmann, F., Kunkel, R., & Wendland, F. (2016). Assessment of climate change impact in the hydrological regime of River Pinios Basin, central Greece. Desalination and Water Treatment, 57(5), 2256–2267. https://doi.org/10.1080/19443994.2014.984926
Panagopoulos, A., Arampatzis, G., Tziritis, E., Pisinaras, V., Herrmann, F., Kunkel, R., & Wendland, F. (2016). Assessment of climate change impact in the hydrological regime of River Pinios Basin, central Greece. Desalination and Water Treatment, 57(5), 2256–2267. https://doi.org/10.1080/19443994.2014.984926
Panagopoulos, A., Arampatzis, G., Tziritis, E., Pisinaras, V., Herrmann, F., Kunkel, R., & Wendland, F. (2016). Assessment of climate change impact in the hydrological regime of River Pinios Basin, central Greece. Desalination and Water Treatment, 57(5), 2256–2267. https://doi.org/10.1080/19443994.2014.984926
Panagopoulos, A., Arampatzis, G., Tziritis, E., Pisinaras, V., Herrmann, F., Kunkel, R., & Wendland, F. (2016). Assessment of climate change impact in the hydrological regime of River Pinios Basin, central Greece. Desalination and Water Treatment, 57(5), 2256–2267. https://doi.org/10.1080/19443994.2014.984926
Peteinatos, G. G., Korsaeth, A., Berge, T. W., & Gerhards, R. (2016). Using optical sensors to identify water deprivation, nitrogen shortage, weed presence and fungal infection in wheat. Agriculture (Switzerland), 6(2). https://doi.org/10.3390/agriculture6020024
Pisinaras, V., Polychronis, C., & Gemitzi, A. (2016). Intrinsic groundwater vulnerability determination at the aquifer scale: a methodology coupling travel time estimation and rating methods. Environmental Earth Sciences, 75(1), 1–12. https://doi.org/10.1007/s12665-015-4965-7
Treu, L., Campanaro, S., Kougias, P. G., Zhu, X., & Angelidaki, I. (2016). Untangling the Effect of Fatty Acid Addition at Species Level Revealed Different Transcriptional Responses of the Biogas Microbial Community Members. Environmental Science and Technology, 50(11), 6079–6090. https://doi.org/10.1021/acs.est.6b00296
Treu, L., Kougias, P. G., Campanaro, S., Bassani, I., & Angelidaki, I. (2016). Deeper insight into the structure of the anaerobic digestion microbial community; The biogas microbiome database is expanded with 157 new genomes. Bioresource Technology, 216, 260–266. https://doi.org/10.1016/j.biortech.2016.05.081
Tsapekos, P., Kougias, P. G., Frison, A., Raga, R., & Angelidaki, I. (2016). Improving methane production from digested manure biofibers by mechanical and thermal alkaline pretreatment. Bioresource Technology, 216, 545–552. https://doi.org/10.1016/j.biortech.2016.05.117
Tziritis, E., Arampatzis, G., Hatzigiannakis, E., Panoras, G., Panoras, A., & Panagopoulos, A. (2016). Quality characteristics and hydrogeochemistry of irrigation waters from three major olive groves in Greece. Desalination and Water Treatment, 57(25), 11582–11591. https://doi.org/10.1080/19443994.2015.1057869
Tziritis, E., Tzamos, E., Vogiatzis, P., Matzari, C., Kantiranis, N., Filippidis, A., Theodosiou, N., & Fytianos, K. (2016). Quality assessment and hydrogeochemical status of potable water resources in a suburban area of northern Greece (Thermi Municipality, central Macedonia). Desalination and Water Treatment, 57(25), 11462–11471. https://doi.org/10.1080/19443994.2015.1052993
Tziritis, E., Arampatzis, G., Hatzigiannakis, E., Panoras, G., Panoras, A., & Panagopoulos, A. (2016). Quality characteristics and hydrogeochemistry of irrigation waters from three major olive groves in Greece. Desalination and Water Treatment, 57(25), 11582–11591. https://doi.org/10.1080/19443994.2015.1057869
Tziritis, E., Skordas, K., & Kelepertsis, A. (2016). The use of hydrogeochemical analyses and multivariate statistics for the characterization of groundwater resources in a complex aquifer system. A case study in Amyros River basin, Thessaly, central Greece. Environmental Earth Sciences, 75(4), 1–11. https://doi.org/10.1007/s12665-015-5204-y
Tziritis, E., Arampatzis, G., Hatzigiannakis, E., Panoras, G., Panoras, A., & Panagopoulos, A. (2016). Quality characteristics and hydrogeochemistry of irrigation waters from three major olive groves in Greece. Desalination and Water Treatment, 57(25), 11582–11591. https://doi.org/10.1080/19443994.2015.1057869
Wang, P., Peteinatos, G., Li, H., & Gerhards, R. (2016). Rapid in-season detection of herbicide resistant Alopecurus myosuroides using a mobile fluorescence imaging sensor. Crop Protection, 89, 170–177. https://doi.org/10.1016/j.cropro.2016.07.022
6216836 2015 1 apa 50 creator asc 1939 https://swri.gr/wp-content/plugins/zotpress/
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Bartzanas, T., Katsoulas, N., Elvanidi, A., Ferentinos, K. P., & Kittas, C. (2015). Remote sensing for crop water stress detection in greenhouses. In S. J.V (Ed.), Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015 (pp. 669–676). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_83
Bassani, I., Kougias, P. G., Treu, L., & Angelidaki, I. (2015). Biogas Upgrading via Hydrogenotrophic Methanogenesis in Two-Stage Continuous Stirred Tank Reactors at Mesophilic and Thermophilic Conditions. Environmental Science and Technology, 49(20), 12585–12593. https://doi.org/10.1021/acs.est.5b03451
De Francisci, D., Kougias, P. G., Treu, L., Campanaro, S., & Angelidaki, I. (2015). Microbial diversity and dynamicity of biogas reactors due to radical changes of feedstock composition. Bioresource Technology, 176, 56–64. https://doi.org/10.1016/j.biortech.2014.10.126
Ferentinos, K. P., Katsoulas, N., Tzounis, A., Kittas, C., & Bartzanas, T. (2015). A climate control methodology based on wireless sensor networks in greenhouses. Acta Horticulturae, 1107, 75–82. https://doi.org/10.17660/ActaHortic.2015.1107.9
Katsoulas, N., Peponakis, K., Ferentinos, K. P., & Kittas, C. (2015). Calibration of a growth model for tomato seedlings (TOMSEED) based on heuristic optimisation. Biosystems Engineering, 140, 34–47. https://doi.org/10.1016/j.biosystemseng.2015.09.004
Kougias, P. G., Boe, K., Einarsdottir, E. S., & Angelidaki, I. (2015). Counteracting foaming caused by lipids or proteins in biogas reactors using rapeseed oil or oleic acid as antifoaming agents. Water Research, 79, 119–127. https://doi.org/10.1016/j.watres.2015.04.034
Kougias, P. G., Boe, K., & Angelidaki, I. (2015). Solutions for Foaming Problems in Biogas Reactors Using Natural Oils or Fatty Acids as Defoamers. Energy and Fuels, 29(7), 4046–4051. https://doi.org/10.1021/ef502808p
Luo, G., De Francisci, D., Kougias, P. G., Laura, T., Zhu, X., & Angelidaki, I. (2015). New Steady-State Microbial Community Compositions and Process Performances in Biogas Reactors Induced by Temperature Disturbances. Apple Academic Press. https://doi.org/10.1201/b18872-10
Luo, G., De Francisci, D., Kougias, P. G., Laura, T., Zhu, X., & Angelidaki, I. (2015). New steady-state microbial community compositions and process performances in biogas reactors induced by temperature disturbances. Biotechnology for Biofuels, 8(1). https://doi.org/10.1186/s13068-014-0182-y
Panagopoulos, A., Arampatzis, G., Kuhr, P., Kunkel, R., Tziritis, E., & Wendland, F. (2015). Area-differentiated modeling of water balance in pinios river Basin, central Greece. Global Nest Journal, 17(2), 221–235. https://doi.org/10.30955/gnj.001402
Panagopoulos, A., Arampatzis, G., Kuhr, P., Kunkel, R., Tziritis, E., & Wendland, F. (2015). Area-differentiated modeling of water balance in pinios river Basin, central Greece. Global Nest Journal, 17(2), 221–235. https://doi.org/10.30955/gnj.001402
Panagopoulos, A., Arampatzis, G., Kuhr, P., Kunkel, R., Tziritis, E., & Wendland, F. (2015). Area-differentiated modeling of water balance in pinios river Basin, central Greece. Global Nest Journal, 17(2), 221–235. https://doi.org/10.30955/gnj.001402
Peteinatos, G. G., Rueda-Ayala, V., Gerhards, R., & Andujar, D. (2015). Precision harrowing with a flexible tine harrow and an ultrasonic Sensor. In S. J.V (Ed.), Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015 (pp. 579–586). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_72
Roeb, J., Peteinatos, G. G., & Gerhards, R. (2015). Using sensors to assess herbicide stress in sugar beet. In S. J.V (Ed.), Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015 (pp. 563–570). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_70
Rueda-Ayala, V., Peteinatos, G., Gerhards, R., & Andújar, D. (2015). A non-chemical system for onlineweed control. Sensors (Switzerland), 15(4), 7691–7707. https://doi.org/10.3390/s150407691
Tsapekos, P., Kougias, P. G., & Angelidaki, I. (2015). Anaerobic Mono- and Co-digestion of Mechanically Pretreated Meadow Grass for Biogas Production. Energy and Fuels, 29(7), 4005–4010. https://doi.org/10.1021/ef5027949
Tsapekos, P., Kougias, P. G., & Angelidaki, I. (2015). Biogas production from ensiled meadow grass; effect of mechanical pretreatments and rapid determination of substrate biodegradability via physicochemical methods. Bioresource Technology, 182, 329–335. https://doi.org/10.1016/j.biortech.2015.02.025
Tzimopoulos, C., Evangelides, C., & Arampatzis, G. (2015). Explicit Approximate Analytical Solution of the Horizontal Diffusion Equation. Soil Science, 180(2), 47–53. https://doi.org/10.1097/SS.0000000000000113
Voutsis, N., Kelepertzis, E., Tziritis, E., & Kelepertsis, A. (2015). Assessing the hydrogeochemistry of groundwaters in ophiolite areas of Euboea Island, Greece, using multivariate statistical methods. Journal of Geochemical Exploration, 159, 79–92. https://doi.org/10.1016/j.gexplo.2015.08.007

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