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Publication

Through collaboration with local researchers and farmers, and knowledge-sharing discussions between stakeholders, we aim to identify and address local issues that hamper the adoption of precision agriculture techniques and drones in agriculture. The findings from these collaborative studies will be disseminated as research articles and policy papers. Publications resulting from the activities of this project will be shared here:

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  1. Xiao, J., Aggarwal, A. K., Rage, U. K., Katiyar, V., & Avtar, R.* (2023). Deep Learning-Based Spatiotemporal Fusion of Unmanned Aerial Vehicle and Satellite Reflectance Images for Crop Monitoring. IEEE Access, 11, 85600-85614. https://ieeexplore.ieee.org/document/10188843/

  2. Xiao, J., Aggarwal, A. K., Duc, N. H., Arya, A., Rage, U. K., & Avtar, R.* (2023). A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends. Remote Sensing Applications: Society and Environment, 101005.   https://www.sciencedirect.com/science/article/abs/pii/S2352938523000873

  3. Xiao, J., Suab, S. A., Xinyu, C., Singh, C. K., Singh, D., Aggarwal, A. K., ... & Avtar, R*. (2023). Enhancing assessment of corn growth performance under various experimental management practices using Unmanned Aerial Vehicles (UAVs) and deep learning. Measurement, 112764.    https://www.sciencedirect.com/science/article/abs/pii/S0263224123003287

  4. Mishra, V., Avtar, R., Prathiba, A. P., Mishra, P. K., Tiwari, A., Sharma, S. K., ... & Jain, K. (2023). Uncrewed Aerial Systems in Water Resource Management and Monitoring: A Review of Sensors, Applications, Software, and Issues. Advances in Civil Engineering, 2023.

  5. Ram Avtar*, Suab S.A., Syukur M.S.B., Korom A., Umarhadi D., Yunus P. (2020) Assessing the Influence of UAV Altitude on Extracted Biophysical Parameters of Young Oil Palm. Remote Sensing, 12(18), 3030; https://doi.org/10.3390/rs12183030

  6. Ram Avtar, Watanabe Teiji, Unmanned Aerial Vehicle: Applications in Agriculture and Environment, Springer publication, ISBN: 978-3-030-27157-2. https://www.springer.com/gp/book/9783030271565

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