Feature-Based Analytical Crop Recommendation System

Abstract

India, the country with the largest occupation in Agriculture, ranks as the second-largest producer for various fruits and vegetables. Farmers have been cultivating crops by following the traditional pattern that they have been using for decades. This worked well, until recent years, where the land is poised by land degradation and the climate has become more unstable. Thus, it becomes imperative that we select a crop by taking these parameters into consideration. We aim to solve the problem of crop selection by making a system that takes these parameters into consideration and suggests the optimal crop. Research is being done to create similar systems using Machine Learning or other AI-based algorithms. In this manuscript, we are trying to explore the use of Soft Computing and Fuzzy logic to create a system to suggest the optimal or “best-suited” crop. For this purpose, the system only requires the optimal data for each crop and doesn't require huge datasets as required for training a traditional neural network or an ML based model.