| The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems J Jung, M Maeda, A Chang, M Bhandari, A Ashapure, J Landivar-Bowles Current Opinion in Biotechnology 70, 15-22, 2021 | 473 | 2021 |
| Unmanned aerial vehicles in hydrology and water management: Applications, challenges, and perspectives BS Acharya, M Bhandari, F Bandini, A Pizarro, M Perks, DR Joshi, ... Water Resources Research 57 (11), e2021WR029925, 2021 | 109 | 2021 |
| Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV) M Bhandari, AMH Ibrahim, Q Xue, J Jung, A Chang, JC Rudd, M Maeda, ... Computers and Electronics in Agriculture 176, 105665, 2020 | 67 | 2020 |
| Use of NDVI for characterizing winter wheat response to water stress in a semi-arid environment S Thapa, JC Rudd, Q Xue, M Bhandari, SK Reddy, KE Jessup, S Liu, ... Journal of Crop Improvement 33 (5), 633-648, 2019 | 61 | 2019 |
| Assessing the effect of drought on winter wheat growth using unmanned aerial system (UAS)-based phenotyping M Bhandari, S Baker, JC Rudd, AMH Ibrahim, A Chang, Q Xue, J Jung, ... Remote Sensing 13 (6), 1144, 2021 | 27 | 2021 |
| Unmanned aerial system‐based high‐throughput phenotyping for plant breeding M Bhandari, A Chang, J Jung, AMH Ibrahim, JC Rudd, S Baker, ... The Plant Phenome Journal 6 (1), e20058, 2023 | 18 | 2023 |
| Positive and negative effects of phosphorus fertilizer on US agriculture and the environment BA Stewart, P Pokhrel, M Bhandari Soil phosphorus, 23-42, 2016 | 14 | 2016 |
| Growing corn in clumps reduces canopy temperature and improves microclimate S Thapa, BA Stewart, Q Xue, P Pokhrel, T Barkley, M Bhandari Journal of Crop Improvement 30 (6), 614-631, 2016 | 12 | 2016 |
| Use of infrared thermal imaging for estimating canopy temperature in wheat and maize M Bhandari | 10 | 2016 |
| Thermal imaging to evaluate wheat genotypes under dryland conditions M Bhandari, Q Xue, S Liu, BA Stewart, JC Rudd, P Pokhrel, B Blaser, ... Agrosystems, Geosciences & Environment 4 (2), e20152, 2021 | 9 | 2021 |
| Testing the performance of LSTM and ARIMA models for in-season forecasting of canopy cover (CC) in cotton crops SB Dhal, S Kalafatis, U Braga-Neto, KC Gadepally, JL Landivar-Scott, ... Remote Sensing 16 (11), 1906, 2024 | 6 | 2024 |
| Improving irrigation management of cotton with small unmanned aerial vehicle (UAV) in texas high plains A Risal, H Niu, JL Landivar-Scott, MM Maeda, CW Bednarz, ... Water 16 (9), 1300, 2024 | 6 | 2024 |
| A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops KC Gadepally, SB Dhal, M Bhandari, J Landivar, S Kalafatis, K Nowka 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-4, 2023 | 4 | 2023 |
| High-Throughput Field Phenotyping in Wheat Using Unmanned Aerial Systems (UAS) M Bhandari Texas A&M University, 2020 | 4 | 2020 |
| Assessing drought stress of sugarcane cultivars using unmanned vehicle system (UAS)-based vegetation indices and physiological parameters I Khuimphukhieo, M Bhandari, J Enciso, JA da Silva Remote Sensing 16 (8), 1433, 2024 | 3 | 2024 |
| In-season cotton yield prediction with scale-aware convolutional neural network models and unmanned aerial vehicle RGB imagery H Niu, JR Peddagudreddygari, M Bhandari, JA Landivar, CW Bednarz, ... Sensors 24 (8), 2432, 2024 | 3 | 2024 |
| Estimating Sugarcane Yield and Its Components Using Unmanned Aerial Systems (Uas)-Based High Throughput Phenotyping (Htp) I Khuimphukhieo, JA da Silva, M Bhandari, J Enciso Available at SSRN 4764376, 2024 | 3 | 2024 |
| Machine Learning and Unmanned Aerial Vehicles in Water Quality Monitoring BS Acharya, M Bhandari Sustainable Horizons 3, 100019, 2022 | 3 | 2022 |
| Techniques for Canopy to Organ Level Plant Feature Extraction via Remote and Proximal Sensing: A Survey and Experiments P Nethala, D Um, N Vemula, OF Montero, K Lee, M Bhandari Remote Sensing 16 (23), 4370, 2024 | 2 | 2024 |
| Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks L Zhao, D Um, K Nowka, JL Landivar-Scott, J Landivar, M Bhandari Computers and Electronics in Agriculture 226, 109415, 2024 | 2 | 2024 |