International Journal of Advanced Research in Computer and Communication Engineering

Abstract: In order to guarantee that agricultural produce reaches customers in a safe, fresh, and nourishing state, the food supply chain is essential. However, issues like contamination, spoiling, nutritional deterioration, lack of transparency, and ineffective traceability plague conventional food monitoring systems. Due to the dependence on human inspections and centralized record-keeping systems, these restrictions raise health risks, cause monetary harm, and erode customer confidence.

In order to guarantee food safety and quality along the whole supply chain, the Food Supply Chain Health Tracker is a clever, technologically advanced solution that combines Blockchain, AI, and ML. While ML models forecast nutritional degradation based on storage and climatic conditions, AI-based computer vision techniques are utilized to identify contamination and spoiling in crops. Blockchain technology ensures transparency and end-to-end traceability from farm to consumer by providing a decentralized, unchangeable ledger for all supply chain transactions.

Through a web-based platform, the system provides farmers, distributors, retailers, and customers with role-based access. While stakeholders receive real-time information on food quality and handling circumstances, consumers can use QR code scanning to confirm product quality and origin. The suggested solution improves food safety, lowers post-harvest losses, increases responsibility, and fosters confidence in the food supply ecosystem by fusing secure traceability with predictive analytics.

Downloads: | DOI: 10.17148/IJARCCE.2025.1412153