| Deep learning models for plant disease detection and diagnosis KP Ferentinos Computers and Electronics in Agriculture 145, 311-318, 2018 | 2555 | 2018 |
| Adaptive design optimization of wireless sensor networks using genetic algorithms KP Ferentinos, TA Tsiligiridis Computer Networks 51 (4), 1031-1051, 2007 | 348 | 2007 |
| A new synergistic approach for monitoring wetlands using Sentinels-1 and 2 data with object-based machine learning algorithms A Whyte, KP Ferentinos, GP Petropoulos Environmental Modelling & Software 104, 40-54, 2018 | 227 | 2018 |
| Crop reflectance monitoring as a tool for water stress detection in greenhouses: A review N Katsoulas, A Elvanidi, KP Ferentinos, M Kacira, T Bartzanas, C Kittas Biosystems Engineering 151, 374-398, 2016 | 158 | 2016 |
| Wireless sensor networks for greenhouse climate and plant condition assessment KP Ferentinos, N Katsoulas, A Tzounis, T Bartzanas, C Kittas Biosystems Engineering 153, 70-81, 2017 | 147 | 2017 |
| Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms KP Ferentinos Neural networks 18 (7), 934-950, 2005 | 129 | 2005 |
| Determining the use of Sentinel-2A MSI for wildfire burning & severity detection C Amos, GP Petropoulos, KP Ferentinos International Journal of Remote Sensing 40 (3), 905-930, 2019 | 96 | 2019 |
| Energy optimization of wireless sensor networks for environmental measurements KP Ferentinos, TA Tsiligiridis, KG Arvanitis Proceedings of the International Conference on Computational Intelligence …, 2005 | 79 | 2005 |
| Optimal design of plant lighting system by genetic algorithms KP Ferentinos, LD Albright Engineering Applications of Artificial Intelligence 18 (4), 473-484, 2005 | 70 | 2005 |
| Exploring the Potential of Sentinels-1 & 2 of the Copernicus Mission in Support of Rapid and Cost-effective Wildfire Assessment D Colson, GP Petropoulos, KP Ferentinos International Journal of Applied Earth Observation and Geoinformation 73 …, 2018 | 66 | 2018 |
| Appraisal of the Sentinel-1 & 2 use in a large-scale wildfire assessment: A case study from Portugal's fires of 2017 AR Brown, GP Petropoulos, KP Ferentinos Applied Geography 100, 78-89, 2018 | 64 | 2018 |
| Predictive neural network modeling of pH and electrical conductivity in deep-trough hydroponics KP Ferentinos, LD Albright TRANSACTIONS-AMERICAN SOCIETY OF AGRICULTURAL ENGINEERS 45 (6), 2007-2016, 2002 | 49 | 2002 |
| Hydroponics water management using adaptive scheduling with an on-line optimiser N Sigrimis, KG Arvanitis, GD Pasgianos, K Ferentinos Computers and electronics in agriculture 31 (1), 31-46, 2001 | 49 | 2001 |
| Hyperspectral machine vision as a tool for water stress severity assessment in soilless tomato crop A Elvanidi, N Katsoulas, KP Ferentinos, T Bartzanas, C Kittas Biosystems Engineering 165, 25-35, 2018 | 44 | 2018 |
| A drift-tolerant model for data management in ocean sensor networks S Nittel, N Trigoni, K Ferentinos, F Neville, A Nural, N Pettigrew Proceedings of the 6th ACM international workshop on Data engineering for …, 2007 | 42 | 2007 |
| Heuristic optimization methods for motion planning of autonomous agricultural vehicles KP Ferentinos, KG Arvanitis, N Sigrimis Journal of Global Optimization 23 (2), 155, 2002 | 41 | 2002 |
| Systems and methods for providing optimal light-CO2 combinations for plant production LD Albright, K Ferentinos, I Seginer, DS De Villiers, JW Ho US Patent 7,184,846, 2007 | 40 | 2007 |
| Crop water status assessment in controlled environment using crop reflectance and temperature measurements A Elvanidi, N Katsoulas, T Bartzanas, KP Ferentinos, C Kittas Precision Agriculture, 1-18, 2017 | 38 | 2017 |
| Optimal Light Integral and Carbon Dioxide Concentration Combinations for Lettuce in Ventilated Greenhouses KP Ferentinos, LD Albright, DV Ramani Journal of agricultural engineering research 77 (3), 309-315, 2000 | 37* | 2000 |
| Proactive energy management of solar greenhouses with risk assessment to enhance smart specialisation in China J Li, L Li, H Wang, KP Ferentinos, M Li, N Sigrimis Biosystems Engineering 158, 10-22, 2017 | 32 | 2017 |
