Revolutionizing the Rice Supply Chain: Blockchain and Machine Learning Integration for Transparency and Efficiency

This project combines machine learning and conducted a systematic review, emphasizing blockchain's blockchain technology to transform grain quality assessment and supply chain management. The machine learning layer uses Convolutional Neural Networks (CNN) and transfer learning (VGG16) to classify grains with high accuracy. The rice dataset was first processed and optimized, where the CNN model achieved a validation accuracy. The blockchain layer uses Ethereum smart contracts for decentralized business management, ensuring transparency and security in the rice supply chain through the use of Truffle, Ganache, and Metamask. The project aims to improve efficiency and transparency, and help farmers and consumers in the grain industry.