| Applications of nanomaterials in agricultural production and crop protection: a review LR Khot, S Sankaran, JM Maja, R Ehsani, EW Schuster Crop protection 35, 64-70, 2012 | 1552 | 2012 |
| Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees F Garcia-Ruiz, S Sankaran, JM Maja, WS Lee, J Rasmussen, R Ehsani Computers and Electronics in Agriculture 91, 106-115, 2013 | 467 | 2013 |
| Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards S Sankaran, A Mishra, JM Maja, R Ehsani Computers and electronics in agriculture 77 (2), 127-134, 2011 | 195 | 2011 |
| Huanglongbing (citrus greening) detection using visible, near infrared and thermal imaging techniques S Sankaran, JM Maja, S Buchanon, R Ehsani Sensors 13 (2), 2117-2130, 2013 | 175 | 2013 |
| UAVs for vegetation monitoring: Overview and recent scientific contributions AI de Castro, Y Shi, JM Maja, JM Peña Remote Sensing 13 (11), 2139, 2021 | 114 | 2021 |
| Development of a yield monitoring system for citrus mechanical harvesting machines JM Maja, R Ehsani Precision agriculture 11, 475-487, 2010 | 48 | 2010 |
| Influence of tillage and deep rooted cool season cover crops on soil properties, pests, and yield responses in cotton MW Marshall, P Williams, AM Nafchi, JM Maja, J Payero, J Mueller, ... Open Journal of Soil Science 6 (10), 149-158, 2016 | 44 | 2016 |
| The rise of small UAVs in precision agriculture R Ehsani, JM Maja Resource Magazine 20 (4), 18-19, 2013 | 44 | 2013 |
| Opportunities for robotic systems and automation in cotton production E Barnes, G Morgan, K Hake, J Devine, R Kurtz, G Ibendahl, A Sharda, ... AgriEngineering 3 (2), 339-362, 2021 | 34 | 2021 |
| Determining machine efficiency parameters for a citrus canopy shaker using yield monitor data R Shamshiri, R Ehsani, JM Maja, FM Roka Applied engineering in Agriculture 29 (1), 33-41, 2013 | 33 | 2013 |
| Feasibility of using computer vision and artificial intelligence techniques in detection of some apple pests and diseases Y Abbaspour-Gilandeh, A Aghabara, M Davari, JM Maja Applied Sciences 12 (2), 906, 2022 | 30 | 2022 |
| Watson on the farm: Using cloud-based artificial intelligence to identify early indicators of water stress D Freeman, S Gupta, DH Smith, JM Maja, J Robbins, JS Owen Jr, ... Remote sensing 11 (22), 2645, 2019 | 28 | 2019 |
| Affordable multirotor Remote sensing platform for applications in precision horticulture R Ehsani, S Sankaran, J Maja, JC Neto the International Conference on Precision Agriculture, 2014 | 26 | 2014 |
| Agricultural harvesting robot concept design and system components: A review MF Mail, JM Maja, M Marshall, M Cutulle, G Miller, E Barnes AgriEngineering 5 (2), 777-800, 2023 | 25 | 2023 |
| An integrated system of artificial intelligence and signal processing techniques for the sorting and grading of nuts M Farhadi, Y Abbaspour-Gilandeh, A Mahmoudi, J Mari Maja Applied Sciences 10 (9), 3315, 2020 | 23 | 2020 |
| Prediction of potassium in peach leaves using hyperspectral imaging and multivariate analysis MIA Abenina, JM Maja, M Cutulle, JC Melgar, H Liu AgriEngineering 4 (2), 400-413, 2022 | 22 | 2022 |
| RFID and drones: The next generation of plant inventory J Quino, JM Maja, J Robbins, RT Fernandez, JS Owen Jr, M Chappell AgriEngineering 3 (2), 168-181, 2021 | 22 | 2021 |
| Predicting cotton yield of small field plots in a cotton breeding program using UAV imagery data JMJ Maja, T Campbell, JC Neto, P Astillo Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2016 | 22 | 2016 |
| Real-time obstacle avoidance algorithm for visual navigation JM Maja, T Takahashi, ZD Wang, E Nakano Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots …, 2000 | 21 | 2000 |
| CHAP: cotton-harvesting autonomous platform JM Maja, M Polak, ME Burce, E Barnes AgriEngineering 3 (2), 199-217, 2021 | 20 | 2021 |
