AGRICULTURE SOIL ANALYSIS, CLASSIFICATION AND CROP SUITABILITY RECOMMENDATION USING MACHINE LEARNING

Abstract

Increasing crop yield is crucial to meet the growing demands of the population. Many Indian farmers own
small, fragmented plots of land, and their crop productivity is influenced by factors like soil quality, rainfall, and
environmental conditions. India experiences an annual soil loss of approximately 5.3 billion tonnes, leading to
reduced productivity on degraded land. Soil fertility significantly impacts agricultural output, varying with nutrient
levels and suitability for different crops. Evaluating soil's physical, chemical, and biological properties helps
determine fertility, plan cultivation strategies, and forecast crop yields.