AGROFERDURE: Intelligent Crop Recommendation System For Agriculture Crop Productivity Using Machine Learning Algorithm

Farming is the backbone of India. The yield of a modern-day farmer in India depends on many factors ranging from their economic conditions to environmental factors, and their habitat. A shortage in any of these factors would result in large scale loss of yield of farmer’s crop. To reduce losses incurred by the farmers we are trying to lend a helping hand by developing a tool for them. With the help of Machine Learning and Artificial Intelligence Technology this project provides yield improvement in various geographical areas with specific crops. Our Project collects information from the farmer and uses it to provide accurate and optimal recommendations to them which include information about soil and its nature in which the farmer wishes to cultivate. Depending upon this information our project provides the farmer with the best possible fertilizer and crop recommendation which enhances the yield. This information collected is stored in order to facilitate future use. The Technology and Algorithms used for this are Machine Learning, Regression and Recommendation Algorithms.