An AI and Blockchain-Based Smart Secure System for Milk Quality Detection and Authentication

Abstract

Milk quality assurance is a critical challenge in the dairy industry due to the perishable nature of milk and the lack of continuous monitoring across the supply chain. Conventional quality assessment methods are manual, time-consuming, and reactive, often leading to delayed detection of spoilage, increased wastage, and reduced consumer trust. Although blockchain technology has been introduced to improve traceability and transparency in milk supply chains, existing systems primarily focus on secure data storage and lack intelligent quality analysis. This project proposes an AI and Blockchain-Based Framework for Milk Quality Assurance to ensure real-time monitoring, predictive quality analysis, and secure data management throughout the dairy supply chain. Artificial Intelligence is used to analyze key milk quality parameters such as temperature, pH, and storage time to detect abnormal conditions and predict spoilage at an early stage. Blockchain technology is integrated to store sensor data and AI-generated quality results in an immutable and tamper-proof ledger, ensuring transparency and preventing data manipulation among stakeholders. The proposed framework enables continuous quality tracking, automated alerts, and trusted traceability from milk collection to consumption. By combining AI-driven intelligence with blockchain-based security, the system reduces milk wastage, enhances food safety, and strengthens accountability across the dairy ecosystem. The solution is scalable, reliable, and suitable for real-world deployment in modern dairy supply chain management.