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The soil is the prominent and the primary medium for the effective growth of plants whether it is for food or plantation. Plants can thrive and grow rapidly in healthy soil if the chemical and physical attributes of soil are quite conducive to the plant development. The crucial objective of this research paper is to estimate the health of the soil in Arid and Semi-Arid regions of Punjab. A total of eight districts were selected for this research, four from the arid region and four from the semi-arid region. The soil dataset was obtained and analyzed using the R programming language. Several graphical and data visualization features were used and results were obtained. The results obtained showed that the Bathinda district had the lowest amount of N content of all the eight districts, followed by Mansa and Sangrur. The regions considered for this study were found to be a deficit in P and abundant in K. The N content was low in the arid region as compared to the semi-arid region.

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Estimating Soil Quality Content of Arid and Semi-Arid Districts of Punjab Using Machine Learning Techniques

  • 会议论文

  • 发表日期：

    2025年

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  • Mandeep Kaur,
  • Kamal Malik

摘要

The soil is the prominent and the primary medium for the effective growth of plants whether it is for food or plantation. Plants can thrive and grow rapidly in healthy soil if the chemical and physical attributes of soil are quite conducive to the plant development. The crucial objective of this research paper is to estimate the health of the soil in Arid and Semi-Arid regions of Punjab. A total of eight districts were selected for this research, four from the arid region and four from the semi-arid region. The soil dataset was obtained and analyzed using the R programming language. Several graphical and data visualization features were used and results were obtained. The results obtained showed that the Bathinda district had the lowest amount of N content of all the eight districts, followed by Mansa and Sangrur. The regions considered for this study were found to be a deficit in P and abundant in K. The N content was low in the arid region as compared to the semi-arid region.