Farmer Procurement Platform

Efficient procurement of agricultural produce is crucial for ensuring fair compensation to farmers and maintaining the integrity of supply chains. However, traditional procurement methods are often cumbersome and susceptible to inefficiencies and malpractices. The emergence of Farmer Procurement Platforms (FPPs) offers a promising solution to streamline the procurement process and empower farmers. This research proposes an automated Farmer Procurement Platform aimed at revolutionizing the agricultural supply chain management. Leveraging advanced technologies such as blockchain and IoT, the proposed platform facilitates seamless interaction between farmers and buyers while ensuring transparency and traceability throughout the procurement process. By harnessing the power of data analytics and machine learning algorithms, the platform optimizes decision-making processes and enhances market efficiency. The primary objective of this research is to develop a comprehensive Farmer Procurement Platform that simplifies procurement operations, strengthens farmer-buyer relationships, and fosters sustainable agricultural practices. The proposed platform will undergo four key phases: data acquisition, smart contract implementation, transaction validation, and supply chain integration. Keywords: Farmer Procurement Platform, agricultural supply chain, blockchain, IoT, data analytics, machine learning Keywords— Mongo DB, React JS, Node JS, Express JS, Attendance, Facial recognition, and detection, Haar cascade, Alert, Student Face.