1. Aboutalebi, M., Allen, L.N., Torres-Rua, A.F., McKee, M., Coopmans, C.: Estimation of soil moisture at different soil levels using machine learning techniques and unmanned aerial vehicle (UAV) multispectral imagery. In: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, vol. IV, no. 11008, pp. 216–226 (2019)
2. Adão, T., Hruška, J., Pádua, L., Bessa, J., Peres, E., Morais, R., & Sousa, J. J. Hyperspectral imaging: A review on UAV-based sensors, data processing and applications for agriculture and forestry. Remote sens. 9(11), 1110 (2017)
3. Ahilan, T., Adityan, V.A., Kailash, S.: Efficient utilization of unmanned aerial vehicle (UAV) for fishing through surveillance for fishermen. Int. J. Aerosp. Mech. Eng. 9(8), 1468–1471 (2015)
4. Anonymous: The Drone Rules 2021. Ministry of Civil Aviation, Government of India (2022)
5. Anonymous: FAO. The State of World Fisheries and Aquaculture 2020. Sustainability in Action, FAO, Rome, Italy (2020)