Crop Prediction Using Machine Learning

Abstract

Agricultural industry plays a major role in the process of economic development as well as the Gross Domestic Product of India. The lack of scientific approaches to soil fertility has become a major challenge for the industry. Since most farmers are not familiar with the concepts of soil nutrients, they tend to start their cultivation by assuming myths and assumptions. The project aims at suggesting the best crop based on soil fertility and also recommends a fertilizer plan to minimize the number of fertilizers that are needed. The project developed a cross-platform web application to suggest the best crops according to available soil fertility. Further, a fertilizer plan will be suggested based on the contents of Nitrogen (N), Phosphorus (P), and Potassium (K) values to optimize fertilizer usage to increase profitability and avoid soil degradation.