Quality-Produced Agricultural Crop Price Prediction Using Machine Learning

Abstract

Agriculture is India's backbone. It is a key sector of the Indian economy, contributing roughly 17% of the country’s overall GDP and employing over 60% of the population. We can use technology to improve product production in a variety of ways, but in the end, a farmer can only benefit if he makes money selling his crops. The Indian government has passed three legislations to promote agricultural produce trade throughout the country. Today, however, we can see farmers across the country battling for their rights against these rules. Farmers fear that they will be used as puppets by major retailers and that their products would be sold at a reduced price. After analysing the situation, we came up with the idea of developing an agricultural produce application that predicts the price of agricultural produce based on the quantity produced and previous years’ sales rates, allows farmers to interact directly with retailers, and allows for product review and crop yielding rate prediction.