ISSN 2394-5125
 
2021, Vol: 8, Issue: 8
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    CLASSIFICATION OF SOIL PH CLASSES BASED ON SOIL FACTORS USING MACHINE LEARNING TECHNIQUES (2020)
    Ramji, M, Rajarathinam, A
    JCR. 2020: 3901-3913

    Abstract

    Soil classification is a method for organising and classifying data concerning soil. In order to define lands in a straightforward, consistent, and understandable manner, which is crucial for plantation and agricultural decision-making this category of soil was created. The current approach to determining soil type is time-consuming and primarily dependent on agricultural specialists. The use of machine learning is anticipated to improve soil classification and recommend the required factors. With a total accuracy of 82.19% for Nitrogen (N), it has trouble correctly predicting the High category. With an overall accuracy of 69.53%, and the efficacy of the categorization model to predict pH levels varies among different soil factors

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    Volume 7 Issue-17

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