Indian farmers obtain profit from important strategies. The first strategy is a multi-cropping method, which involves growing two or more plants concurrently and then the second one is agriculture water management. Nowadays drip irrigation systems are used in agriculture to reduce water consumption. In India 63.43% of agricultural land are implemented with multi-cropping and drip irrigation system. In multi-cropping method water intake capacity for several crops varies and fertilizer given to the crop also varies. The fertilizer variation depends on various parameters like crop mineral, nutrition, chlorophyll, nitrogen, and so on. The drip irrigation system equally distributes the water irrespective of crops cultivated. This leads to excessive water consumption by the crops cultivated. This proposed work provides a solution to the above mentioned issue using drone-based drip irrigation system. Agri drones are used to capture images of the crop in agricultural fields and the captured images are analysed to determine the parameters like chlorophyll, and nitrogen content. From the estimated values, the freshness of the leaf, and the amount of water supplied to the crops are controlled. In turn the amount of fertilizer supplied to the crops is determined. This information is also stored in the cloud and message also are sent to farmers.


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    Titel :

    IoT-Based Automatic Drip Irrigation Control Using Intelligent Agriculture


    Weitere Titelangaben:

    Transactions on Computer Systems & Networks


    Beteiligte:
    Karthikeyan, P. (Herausgeber:in) / Kumar, Sathish (Herausgeber:in) / Anbarasu, V. (Herausgeber:in) / Dharshan, Y. (Autor:in) / Devasena, D. (Autor:in) / Kayalvizhi, S. (Autor:in) / Sharmila, B. (Autor:in)


    Erscheinungsdatum :

    27.09.2023


    Format / Umfang :

    17 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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