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IoT Based Crop-Field Monitoring and Precise Irrigation System Using Crop Water Requirement

Abstract : Existing practices of crop irrigation is manual and based on generic traditional recommendations. Crops when provided lesser water, shows reduced growth and reduced uptake of calcium. Excessive irrigation leads to root death and water wastage. Hence, irrigating crops with precise water becomes an important problem. Towards this objective, an IoT based crop field monitoring and precise irrigation system is proposed that monitors crop-field and computes precise crop water requirement based on its life cycle and climatic conditions. Using this computed crop water requirement, a pump motor is operated automatically whenever soil moisture decreases below permanent welting point. The motor is shut down once the required water is pumped out to crops. The proposed system is installed in a crop-field of brindle plant and the crop is irrigated for 6 months. It is observed that 53% of water has been saved from wastage.
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https://hal.inria.fr/hal-03434795
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Submitted on : Thursday, November 18, 2021 - 2:21:04 PM
Last modification on : Thursday, November 18, 2021 - 2:31:59 PM
Long-term archiving on: : Saturday, February 19, 2022 - 7:13:07 PM

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Kanchana Rajaram, R. Sundareswaran. IoT Based Crop-Field Monitoring and Precise Irrigation System Using Crop Water Requirement. 3rd International Conference on Computational Intelligence in Data Science (ICCIDS), Feb 2020, Chennai, India. pp.291-304, ⟨10.1007/978-3-030-63467-4_23⟩. ⟨hal-03434795⟩

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