International Research Journal of Education and Technology

Ensuring the quality of milk is crucial for consumer safety, nutritional value, and preventing health risks due to contamination or adulteration. Conventional milk testing methods are often slow, require laboratory facilities, and demand skilled personnel, making them impractical for real-time applications in dairy farms and processing units. To address these limitations, this project proposes a real-time milk quality detection system utilizing portable biosensors integrated with an Arduino and ESP8266 module. The system is designed to assess vital milk quality parameters such as pH, fat content, turbidity, and milk volume, providing immediate and accurate results. The pH sensor detects acidity variations, which indicate spoilage due to bacterial activity. The fat sensor ensures the milk’s nutritional standards and identifies dilution. A turbidity sensor measures transparency to detect impurities or adulteration. A milk level sensor helps monitor availability for efficient supply chain management. The collected sensor data is processed using an Arduino microcontroller and displayed on an LCD screen for instant assessment. Furthermore, an ESP8266 Wi-Fi module enables real-time data transmission to an IoT platform, allowing remote monitoring through web-based or mobile applications. This connectivity ensures continuous quality tracking, reducing manual intervention and facilitating timely corrective actions. The system’s portability makes it suitable for use across various points in the dairy supply chain, including farms, collection centers, and processing plants, thereby reducing delays in quality verification. By implementing this innovative solution, stakeholders can maintain hygiene standards, prevent distribution of substandard milk, and enhance operational efficiency. Moreover, this system provides an affordable and effective alternative for milk quality assessment in areas lacking advanced laboratory infrastructure. The integration of IoT enhances transparency and consumer trust, ultimately contributing to a safer dairy industry and minimizing economic losses related to spoiled or adulterated milk.

 Keywords: Milk Quality Detection, Portable Biosensors, Arduino and ESP8266, Real-time Monitoring, IoT Integration, Dairy Supply Chain.