Soil Classification and Crop Suggestion using Machine Learning Techniques

Abstract

In agriculture, the optimization of crop selection based on soil characteristics plays a pivotal role in maximizing yields and ensuring sustainable agricultural practices. Traditional methods of soil classification and crop suggestion rely heavily on manual labour and expertise, often resulting in time-consuming processes with limited accuracy. However, the integration of machine learning techniques presents a promising solution to this challenge