Abstract
The Internet of Things (IoT) and Unmanned Aerial Vehicles (UAVs) in agriculture has revolutionized traditional farming practices, giving rise into precision agriculture. With an increasing global population and the challenges raised by climate change, there is a need for novel farming solutions that conserve resources and increase food production. Agriculture majorly depends on significant water resources, and improper irrigation and excessive nutrient application often lead to the wastage of water and nutrient leaching. On the other hand, monsoon-dependent farmlands suffer drought related challenges. Therefore, IoT-enabled smart irrigation systems are preferred over traditional irrigation methods. This research proposes a smart irrigation system for plant health monitoring using UAVs and the IoT. The data collected though the sensors is transmitted to a cloud-based platform for analysis, offering timely information into plant health. The proposed system could help to enhance plant health, increase yields, reduce resource consumption and labor costs, and provide valuable insights to help farmers make informed decisions.
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Vakula Rani, J., Jakka, A., Jagath, M. (2024). A Smart Irrigation System for Plant Health Monitoring Using Unmanned Aerial Vehicles and IoT. In: Joby, P.P., Alencar, M.S., Falkowski-Gilski, P. (eds) IoT Based Control Networks and Intelligent Systems. ICICNIS 2023. Lecture Notes in Networks and Systems, vol 789. Springer, Singapore. https://doi.org/10.1007/978-981-99-6586-1_34
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DOI: https://doi.org/10.1007/978-981-99-6586-1_34
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