Smart Farming: Bridging Farmers and Consumers through Machine Learning-Enabled E-commerce Platforms

Abstract

Abstract: This research paper proposes the development of an e-commerce platform tailored specifically for farmers, integrating machine learning algorithms for fruit detection and classification, alongside blockchain technology for enhanced authentication. The platform aims to streamline the agricultural supply chain, facilitating direct transactions between farmers and consumers while ensuring product quality and authenticity. The machine learning models will enable automated fruit recognition and categorization, allowing farmers to efficiently showcase their produce online. Additionally, blockchain technology will provide a secure and transparent framework for verifying the origin and quality of agricultural products, fostering trust among buyers. The synergistic combination of machine learning and blockchain holds promise for revolutionizing the agricultural sector, promoting fair trade practices, and empowering farmers in the digital marketplace.