Multivariate Analysis Of Soil Properties On Crop Yield Patterns Using Data Mining Techniques

Abstract

India is a culturally diverse nation with deep-rooted traditions, one of which is its newlineheritage of agriculture. For centuries, India has leveraged its historical advantage in newlineconventional farming practices, integrating them seamlessly into daily life. However, as newlinemodernity progresses, the agricultural sector faces significant challenges that demand urgent newlinesolutions to ensure its sustainability. In this context, maintaining soil health becomes newlinecritically important, as it plays a fundamental role in determining crop growth and yield. newlineTraditional methods have focused on analyzing a few key soil properties for soil newlinemanagement, but such an approach often fails to consider the intricate interactions among newlinevarious soil characteristics. newlineData Mining and allied techniques is truly game changer for agriculture research. In newlinegeneral Data Mining allows us to extract valuable insights from large data sets, uncovering newlinehidden patterns and relationships that might go unnoticed with traditional methods. Bringing newlinethese positive changes to all farmers either holding small land or larger land occupation of newlinefarming. In technical terms Data mining techniques come together to revolutionize newlineagriculture practices. Now the term has more fascination of address known as Precision newlineAgriculture . This work of research brings various stages to address and find technical newlinefindings into solution. newline