| Leaf area index estimation using top-of-canopy airborne RGB images R Raj, JP Walker, R Pingale, R Nandan, B Naik, A Jagarlapudi International Journal of Applied Earth Observation and Geoinformation 96, 102282, 2021 | 55 | 2021 |
| Precision agriculture and unmanned aerial Vehicles (UAVs) R Raj, S Kar, R Nandan, A Jagarlapudi Unmanned aerial vehicle: Applications in agriculture and environment, 7-23, 2020 | 47 | 2020 |
| Leaf water content estimation using top-of-canopy airborne hyperspectral data R Raj, JP Walker, V Vinod, R Pingale, B Naik, A Jagarlapudi International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 27 | 2021 |
| Geo-ICDTs: Principles and applications in agriculture S Suradhaniwar, S Kar, R Nandan, R Raj, A Jagarlapudi Geospatial technologies in land resources mapping, monitoring and management …, 2018 | 20 | 2018 |
| Strawberry water content estimation and ripeness classification using hyperspectral sensing R Raj, A Cosgun, D Kulić Agronomy 12 (2), 425, 2022 | 18 | 2022 |
| Leaf nitrogen content estimation using top-of-canopy airborne hyperspectral data R Raj, JP Walker, R Pingale, BN Banoth, A Jagarlapudi International Journal of Applied Earth Observation and Geoinformation 104 …, 2021 | 14 | 2021 |
| Drone-based sensing for leaf area index estimation of citrus canopy R Raj, S Suradhaniwar, R Nandan, A Jagarlapudi, J Walker Proceedings of UASG 2019: Unmanned Aerial System in Geomatics 1, 79-89, 2020 | 12 | 2020 |
| Canopy height estimation using drone-based RGB images AB Valluvan, R Raj, R Pingale, A Jagarlapudi Smart Agricultural Technology 4, 100145, 2023 | 7 | 2023 |
| Precision agriculture and unmanned aerial vehicles (UAVs). Unmanned aerial vehicle: Applications in agriculture and environment R Raj, S Kar, R Nandan, A Jagarlapudi Springer: Berlin, 2020 | 6 | 2020 |
| Drone-based sensing for identification of at-risk water and nitrogen stress areas for on-farm management R Raj Doctoral Dissertation, 2021 | 2 | 2021 |
| Improving data management and decision-making in precision agriculture JA Soumyashree Kar, Rohit Nandan, Rahul Raj, Saurabh Suradhaniwar Improving data management and decision support systems in agriculture 1, 1:22, 2020 | 2* | 2020 |
| Maize On-Farm Stressed Area Identification Using Airborne RGB Images Derived Leaf Area Index and Canopy Height R Raj, JP Walker, A Jagarlapudi Agriculture 13 (7), 1292, 2023 | 1 | 2023 |
| Super-resolution for cross-sensor optical remote sensing images S Ambudkar, R Raj, K Billa, R Hukumchand IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
| Estimating Leaf Water Content using Remotely Sensed Hyperspectral Data V Vinod, R Raj, R Pingale, A Jagarlapudi arXiv preprint arXiv:2109.02250, 2021 | 1 | 2021 |
| Methods and systems for hyperspectral image correction R Raj, KK Billa US Patent App. 17/888,480, 2023 | | 2023 |
| Sensitivity of LiDAR Parameters to Aboveground Biomass in Winter Spelt. Drones 2023, 7, 121. h ps M Donat, R Raj, P Welter, JS Bates doi. org/10.3390/drones7020121 Academic Editor: Fei Liu Received 28, 2023 | | 2023 |
| Improving data management and decision support systems in agriculture. S Kar, R Nandan, R Raj, S Suradhaniwar, J Adinarayana | | 2020 |
Rohit NandanPostdoctoral Research AssociateVerified email at agnet.tamu.edu
