RECOMMENDATION FOR AGRICULTURAL CROP BASED ON SOIL USING IOT AND ML

Abstract: Many nations' economies are based on agriculture, and soil is its most crucial component. There are various types of soil, and each type has various characteristics for various crops. Today, several techniques and models are utilized in this industry to boost the yield of the crops. Therefore, the main goal of this system is to develop a model that aids farmers in determining which crop to plant in a specific type of soil. We are utilizing machine learning techniques in this system to suggest crops based on soil categorization or soil series. The model merely recommends soil types, and depending on those types, it can recommend appropriate crops. Various classifiers are employed in this, and as a result.

Keywords: Machine Learning; Agriculture; Soil types; recommend appropriate crops