Gerassimos Peteinatos
Principal Research Scientist
Precision Farming
Email:
g.peteinatos@elgo.gr
Phone:
210 2611011
Academic Profiles
Dr. Peteinatos is a researcher at the Soil & Water Resources Institute / Department of Agricultural Engineering, Hellenic Agricultural Organization DIMITRA (Greece). His research interests focus on precision farming, sensors in agriculture, the use of AI for pest recognition and management, and the utilization of machine implements for precision agriculture; his work also spans computer vision and robotics in field operations, proximal and remote sensing (UAV/satellite), site-specific weed management, variable-rate applications, and decision-support tools. He has a strong record across European research projects, service as chairman and invited speaker, and editorial roles in international journals. In 2021 he received the Juan de la Cierva Postdoctoral Fellowship Sponsorship from the Spanish Ministry for Science and Innovation. He has been Guest Editor in special issues and is a Topic Editor for the journal Agronomy. He is the Deputy Leader of the EWRS Precision Weed Management Working Group. He has taught as an adjunct/visiting lecturer at the University of Hohenheim, Universidad Politécnica de Madrid, University of Seville, University College Dublin, Southwest University (China), Hellenic International University, and the Agricultural University of Athens.
Li, H., Schumacher, M., Peteinatos, G. G., Chachalis, D., Ma, W., He, X., & Wang, P. (2026). Editorial: Precision information identification and integrated control: pest identification, crop health monitoring, and field management. Frontiers in Plant Science, 16. https://doi.org/10.3389/fpls.2025.1759708
Glykos, I., Peteinatos, G. G., & Arvanitis, K. G. (2025). Indirect Crop Line Detection in Precision Mechanical Weeding Using AI: A Comparative Analysis of Different Approaches †. Engineering Proceedings, 104(1). https://doi.org/10.3390/engproc2025104032
Kimmel, S. I., Schumacher, M., Spaeth, M., Sökefeld, M., Alagbo, O. O., Allmendinger, A., Andujar, D., Berge, T. W., Braun, R., Parasca, S. C., Emminghaus, J., Glykos, I., Hamouz, P., Hruška, A., Merkle, M., Naruhn, G., Peteinatos, G. G., Sin, B., & Gerhards, R. (2025). A comparative applied analysis of six robotic-assisted weeding systems in sugar beets. Plant, Soil and Environment, 71(11), 782–792. https://doi.org/10.17221/335/2025-PSE
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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., 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Streibig, J. C., Rasmussen, J., Andújar, D., Andreasen, C., Berge, T. W., Chachalis, D., Dittmann, T., Gerhards, R., Giselsson, T. M., Hamouz, P., Jaeger-Hansen, C., Jensen, K., Jørgensen, R. N., Keller, M., Laursen, M., Midtiby, H. S., Nielsen, J., Müller, S., Nordmeyer, H., … Christensen, S. (2014). Sensor-based assessment of herbicide effects. Weed Research, 54(3), 223–233. https://doi.org/10.1111/wre.12079
Peteinatos, G. G., Weis, M., Andújar, D., Rueda Ayala, V., & Gerhards, R. (2014). Potential use of ground-based sensor technologies for weed detection. Pest Management Science, 70(2), 190–199. https://doi.org/10.1002/ps.3677
Geipel, J., Peteinatos, G. G., Claupein, W., & Gerhards, R. (2013). Enhancement of micro Unmanned Aerial Vehicles for agricultural aerial sensor systems. Precision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013, 161–167. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893393196&partnerID=40&md5=ff1cc9d58038848c32b4b8590f2a215a
Weis, M., Andújar, D., Peteinatos, G. G., & Gerhards, R. (2013). Improving the determination of plant characteristics by fusion of four different sensors. Precision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013, 63–69. https://doi.org/10.3920/9789086867783_008
Rokos, G., Peteinatos, G., Kouveli, G., Goumas, G., Kourtis, K., & Koziris, N. (2010). Solving the advection PDE on the cell broadband engine. Proceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, Workshops and Phd Forum, IPDPSW 2010. https://doi.org/10.1109/IPDPSW.2010.5470761
Athanassiou, C. G., Kavallieratos, N. G., Chintzoglou, G. J., Peteinatos, G. G., Boukouvala, M. C., Petrou, S. S., & Panoussakis, E. C. (2008). Effect of temperature and commodity on insecticidal efficacy of spinosad dust against Sitophilus oryzae (Coleoptera: Curculionidae) and Rhyzopertha dominica (Coleoptera: Bostrychidae). Journal of Economic Entomology, 101(3), 976–981. https://doi.org/10.1603/0022-0493(2008)101%5B976:EOTACO%5D2.0.CO;2
Athanassiou, C. G., Kavallieratos, N. G., Peteinatos, G. G., Petrou, S. E., Boukouvala, M. C., & Tomanović, Ž. (2007). Influence of temperature and humidity on insecticidal effect of three diatomaceous earth formulations against larger grain borer (Coleoptera: Bostrychidae). Journal of Economic Entomology, 100(2), 599–603. https://doi.org/10.1603/0022-0493(2007)100%5B599:IOTAHO%5D2.0.CO;2
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1 – 5 July 2024. (n.d.).
23 – 26 September 2024. (n.d.).
Classifications IPC A01B39/28; A01B79/00; A01B39/18; A01B39/20CPC A01B35/20 (AT. (n.d.).
27/02 – 01/03/2018. (n.d.).
18 – 20 June 2025. (n.d.).
23 – 26 September 2024. (n.d.).
13–16 /10/2020. (n.d.).
04-06/07/2019. (n.d.).
30/10-01/11/2019. (n.d.).
23 – 25/02/2016. (n.d.).
Tagung der Gesellschaft für Pflanzenbauwissenschaften e.V. mit der Technischen. (n.d.).
Oral Presentation. (n.d.).
Oral Presentation. (n.d.).
04-06/07/2019. (n.d.).
7. – 9. März 2018 in München. (n.d.).
5 – 7/11/2013. (n.d.).
EWRS Working group site-specific weed management. (n.d.).
Προφορική ανακοίνωση. (n.d.).
Προφορική ανακοίνωση. (n.d.).
Oral Presentation. (n.d.).
113 publications
As Principal Investigator
ARTs
PI
National
Agro-Rice-Tools: Novel digital tools for weed mapping and sustainable use of herbicides in rice
Νοέ 2023 → Νοέ 2025
PreWeM
PI
National
Precision Weed Management in Cotton
Νοέ 2023 → Νοέ 2025
