Exploring Soil Diversity and Land Use Patterns in Arid Tropical Zones: Employing K-Means Clustering in Kolar District, Karnataka

This paper explores the crucial relationship between soil quality and agricultural productivity, emphasizing the pivotal role of soil in sustaining human life. Focusing on the agricultural heritage of Kolar District, Karnataka, India, and its contemporary challenges such as soil degradation, the study employs the clustering technique of data mining to analyze physicochemical soil properties. By applying K-means clustering, the research identifies distinct soil characteristics in various regions of Kolar, providing valuable insights for farmers to optimize agricultural practices. Through statistical analysis and evaluation using the Rattle tool of R-Analytics, the study elucidates practical strategies for improving soil fertility and enhancing crop yields. This work serves as a foundation for informed decision-making in agriculture, addressing the urgent need to understand and mitigate soil quality issues to ensure sustainable food production and livelihoods.