Email:
k.ferentinos@elgo.gr
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Ακαδημαϊκά Προφίλ
Ο Δρ Κωνσταντίνος Φερεντίνος είναι Διευθυντής Ερευνών στο Ινστιτούτο Εδαφοϋδατικών Πόρων (Τμήμα Γεωργικής Μηχανικής) του ΕΛΓΟ-ΔΗΜΗΤΡΑ, και Associate Editor του επιστημονικού περιοδικού “Biosystems Engineering” (Elsevier). Είναι κάτοχος Πτυχίου Γεωπόνου από το Τμήμα Αξιοποίησης Φυσικών Πόρων και Γεωργικής Μηχανικής του Γεωπονικού Πανεπιστημίου Αθηνών (1997), καθώς και Master of Science (1999) και Διδακτορικού (2002) από το Τμήμα Βιολογικής και Περιβαλλοντικής Μηχανικής του Πανεπιστημίου Cornell (Η.Π.Α.), με δεύτερη ειδίκευση (minor) στην Πληροφορική (Τεχνητή Νοημοσύνη). Έχει συνεργαστεί ως διδάσκων «ΠΔ 407» και ερευνητής με διάφορα ιδρύματα (Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (Τμήμα Μαθηματικών), Γεωπονικό Πανεπιστήμιο Αθηνών (Εργαστήριο Πληροφορικής), Πανεπιστήμιο Θεσσαλίας, ΤΕΙ Ιονίων Νήσων, Cornell University), και έχει δημοσιεύσει περισσότερα από 30 άρθρα σε διεθνή περιοδικά με κριτές (journals) και περισσότερα από 50 σε διεθνή επιστημονικά συνέδρια, ενώ κατέχει και 2 διεθνή διπλώματα ευρεσιτεχνίας (ΗΠΑ). Τα κύρια ερευνητικά του ενδιαφέροντα περιλαμβάνουν τα ευφυή πληροφοριακά συστήματα στη γεωργική μηχανική, την τεχνητή νοημοσύνη, τα ασύρματα δίκτυα αισθητήρων, τη γεωπονία ελεγχόμενου περιβάλλοντος και την υδροπονία.
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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., 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
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
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
Ferentinos, K. P., Yialouris, C. P., Blouchos, P., Moschopoulou, G., & Kintzios, S. (2013). Pesticide residue screening using a novel artificial neural network combined with a bioelectric cellular biosensor. BioMed Research International, 2013. https://doi.org/10.1155/2013/813519
Ferentinos, K. P., Yialouris, C. P., Blouchos, P., Moschopoulou, G., Tsourou, V., & Kintzios, S. (2012). The use of artificial neural networks as a component of a cell-based biosensor device for the detection of pesticides. Procedia Engineering, 47, 989–992. https://doi.org/10.1016/j.proeng.2012.09.313
Ferentinos, K. P., & Tsiligiridis, T. A. (2010). A memetic algorithm for optimal dynamic design of wireless sensor networks. Computer Communications, 33(2), 250–258. https://doi.org/10.1016/j.comcom.2009.09.004
Glezakos, T. J., Tsiligiridis, T. A., Iliadis, L. S., Yialouris, C. P., Maris, F. P., & Ferentinos, K. P. (2009). Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds. Neurocomputing, 73(1–3), 49–59. https://doi.org/10.1016/j.neucom.2008.08.024
Ferentinos, K. P., Trigoni, N., & Nittel, S. (2008). Impact of drifter deployment on the quality of ocean sensing. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4540 LNCS, 9–24. https://doi.org/10.1007/978-3-540-79996-2_2
Glezakos, T. J., Tsiligiridis, T. A., Iliadis, L. S., Yialouris, C. P., Maris, F. P., & Ferentinos, K. P. (2007). Feature extraction for time series data: An artificial neural network evolutionary training model for the management of mountainous watersheds. CEUR Workshop Proceedings, 284. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884620924&partnerID=40&md5=bfe6c40a04fa16252d18872f5f7b397f
Ferentinos, K. P., & Tsiligiridis, T. A. (2007). A memetic algorithm for dynamic design of wireless sensor networks. 2007 IEEE Congress on Evolutionary Computation, CEC 2007, 2774–2781. https://doi.org/10.1109/CEC.2007.4424822
Ferentinos, K. P., & Tsiligiridis, T. A. (2007). Adaptive design optimization of wireless sensor networks using genetic algorithms. Computer Networks, 51(4), 1031–1051. https://doi.org/10.1016/j.comnet.2006.06.013
Nittel, S., Trigoni, N., Ferentinos, K., Neville, F., Nural, A., & Pettigrew, N. (2007). A drift-tolerant model for data management in ocean sensor networks. International Workshop on Data Engineering for Wireless and Mobile Access, 49–58. https://doi.org/10.1145/1254850.1254860
Maliappis, M. T., Ferentinos, K. P., Passam, H. C., Sideridis, A. B., & Tsiligiridis, T. A. (2006). A web-based intelligent decision support system for low-technology greenhouses. Computers in Agriculture and Natural Resources - Proceedings of the 4th World Congress, 451–455. https://www.scopus.com/inward/record.uri?eid=2-s2.0-58249112779&partnerID=40&md5=01f1306d3ac912f18b95e3e8af0bad19
Ferentinos, K. P., & Albright, L. D. (2005). Optimal design of plant lighting system by genetic algorithms. Engineering Applications of Artificial Intelligence, 18(4), 473–484. https://doi.org/10.1016/j.engappai.2004.11.005
Anastasiou, A., Ferentinos, K. P., Arvanitis, K. G., Sigrimis, N., & Savvas, D. (2005). DSS-hortimed for on-line management of hydroponic systems. Acta Horticulturae, 691, 267–274. https://doi.org/10.17660/ActaHortic.2005.691.31
Ferentinos, K. P., Tsiligiridis, T. A., & Arvanitis, K. G. (2005). Energy optimization of wireless sensor networks for environmental measurements. Proceedings of the 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2005, 2005, 250–255. https://doi.org/10.1109/CIMSA.2005.1522872
Ferentinos, K. P. (2005). Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms. Neural Networks, 18(7), 934–950. https://doi.org/10.1016/j.neunet.2005.03.010
Ferentinos, K. P., & Tsiligiridis, T. A. (2005). Evolutionary energy management and design of wireless sensor networks. 2005 Second Annual IEEE Communications Society Conference on Sensor and AdHoc Communications and Networks, SECON 2005, 2005, 406–417. https://doi.org/10.1109/SAHCN.2005.1557094
Ferentinos, K. P., Arvanitis, K. G., Lambrou, D., Anastasiou, A., & Sigrimis, N. (2005). A multi-agent system for integrated production in greenhouse hydroponics. Acta Horticulturae, 691, 381–388. https://doi.org/10.17660/ActaHortic.2005.691.45
Ferentinos, K. P., Anastasiou, A., Pasgianos, G. D., Arvanitis, K. G., & Sigrimis, N. (2003). A decision support system as a tool to optimal water management in soilless cultures under saline conditions. Acta Horticulturae, 609, 289–296. https://doi.org/10.17660/ActaHortic.2003.609.43
Ferentinos, K. P., Albright, L. D., & Selman, B. (2003). Neural network-based detection of mechanical, sensor and biological faults in deep-trough hydroponics. Computers and Electronics in Agriculture, 40(1–3), 65–85. https://doi.org/10.1016/S0168-1699(03)00012-7
Ferentinos, K. P., & Albright, L. D. (2003). Fault detection and diagnosis in deep-trough hydroponics using intelligent computational tools. Biosystems Engineering, 84(1), 13–30. https://doi.org/10.1016/S1537-5110(02)00232-5
Sigrimis, N., Arvanitis, K. G., Ferentinos, K. P., & Anastasiou, A. (2002). An intelligent noninteracting technique for climate control of greenhouses. In F. G, C. E.F, B. L, & de la P. J.A (Eds.), IFAC Proceedings Volumes (IFAC-PapersOnline) (Vol. 35, pp. 323–328). IFAC Secretariat. https://doi.org/10.3182/20020721-6-es-1901.01607
[projects member="Κωνσταντίνος Φερεντίνος"]
