Crops Recommendation: An Extensive Review and Comparative Study of Machine Learning Methods

The project seeks to transform the agricultural supply chain through the development of a web application that empowers farmers to sell their produce directly to warehouse owners and retailers, bypassing the constraints imposed by intermediaries. This initiative aims to bridge the gap between farmers and buyers, promoting fairness, efficiency, and transparency within the trading ecosystem. In traditional agricultural trading systems, intermediaries often diminish farmers’ profits and obscure pricing transparency. The platform addresses these challenges by enabling farmers to create profiles, list their agricultural products for sale, and engage directly with warehouse owners and retailers. Additionally, the data analytics tools offer valuable market insights. This methodology outlines the key steps involved in the development of the platform, encompassing front-end and back-end development, data analytics, and the expected outcomes of empowering farmers, enhancing transparency, improving efficiency, and promoting user engagement.