| Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence V Partel, SC Kakarla, Y Ampatzidis Computers and electronics in agriculture 157, 339-350, 2019 | 470 | 2019 |
| Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques J Abdulridha, Y Ampatzidis, SC Kakarla, P Roberts Precision Agriculture 21, 955-978, 2020 | 195 | 2020 |
| Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence J Abdulridha, Y Ampatzidis, P Roberts, SC Kakarla Biosystems engineering 197, 135-148, 2020 | 149 | 2020 |
| Applications of UAVs and machine learning in agriculture SC Kakarla, L Costa, Y Ampatzidis, Z Zhang Unmanned Aerial Systems in Precision Agriculture: Technological Progresses …, 2022 | 5 | 2022 |
| Emerging Sensing Technologies for Precision Agriculture S Kakarla, Y Ampatzidis, S Park, G Adosoglou, P Pardalos Information and Communication Technologies for Agriculture—Theme I: Sensors …, 2022 | 4 | 2022 |
| Artificial Intelligence Applications in Specialty Crops SC Kakarla, Z Zhu, Y Ampatzidis, S Fountas, R Ehsani, P Pardalos Frontiers in Plant Science 13, 866724, 2022 | 3 | 2022 |
| Types of Unmanned Aerial Vehicles (UAVs), Sensing Technologies, and Software for Agricultural Applications: AE565/AE565, 10/2021 SC Kakarla, Y Ampatzidis EDIS 2021 (5), 2021 | 3 | 2021 |
| Postflight Data Processing Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications: AE533, 10/2019 SC Kakarla, Y Ampatzidis EDIS 2019 (6), 6-6, 2019 | 3 | 2019 |
| Preflight and Flight Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications: AE535, 11/2019 SC Kakarla, L de Morais Nunes, Y Ampatzidis EDIS 2019 (6), 5-5, 2019 | 2 | 2019 |
| Instructions on the Use of Unmanned Aerial Vehicles (UAVs): AE527/AE527, 10/2018 SC Kakarla, Y Ampatzidis EDIS 2018 (5), 2018 | 1 | 2018 |
| Remote-Controlled ground penetrating radar (GPR) system for tree root mapping and tree root detection SC Kakarla, J Abdulridha, Y Ampatzidis 2021 ASABE Annual International Virtual Meeting, 1, 2021 | | 2021 |
| Detecting and monitoring the progress of powdery mildew disease in squash using hyperspectral imaging and artificial neural networks. J Abdulridha, Y Ampatzidis, P Roberts, SC Kakarla ISAIM, 2020 | | 2020 |
| Developing High Throughput Phenotyping Tools to Estimate in-Season Genetic Variations for Heat Tolerance in Wheat J McBreen, D Shahi, J Khan, SP Shrestha, J Guo, S Kakarla, A Singh, ... ASA, CSSA and SSSA International Annual Meetings (2019), 2019 | | 2019 |
| Predicting Grain Yield Traits in Wheat Under Heat-Related Stress Environmental Conditions Using Hyperspectral Canopy Measurement and Functional Regression J McBreen, MA Babar, L Costa, D Shahi, J Guo, J Khan, S Pradhan, ... ASA, CSSA and SSSA International Annual Meetings (2020)| VIRTUAL, 0 | | |
