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    ARTICLE

    Improved Soil Quality Prediction Model Using Deep Learning for Smart Agriculture Systems

    P. Sumathi1,*, V. V. Karthikeyan2, M. S. Kavitha3, S. Karthik3

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1545-1559, 2023, DOI:10.32604/csse.2023.027580

    Abstract Soil is the major source of infinite lives on Earth and the quality of soil plays significant role on Agriculture practices all around. Hence, the evaluation of soil quality is very important for determining the amount of nutrients that the soil require for proper yield. In present decade, the application of deep learning models in many fields of research has created greater impact. The increasing soil data availability of soil data there is a greater demand for the remotely avail open source model, leads to the incorporation of deep learning method to predict the soil quality. With that concern, this… More >

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