Abstract: The dairy industry faces persistent challenges in evaluating milk quality due to labor intensive and subjective processes. This project proposes a transformative solution integrating hardware and software technologies to revolutionize milk quality assessment and management. The system employs advanced sensors including pH, temperature, color and fat content sensors seamlessly integrated into a cost-effective device tailored for dairy farmers. This device facilitates real time monitoring of milk quality, empowering farmers to make data-driven decisions and optimize production efficiency. Complementing the hardware, an intuitive mobile application provides farmers with instant access to milk quality data, enabling proactive management of dairy operations. Transparent billing mechanisms ensure fairness and accountability in the dairy supply chain, generating precise invoices based based on objective milk quality metrics using a machine learning model. By enhancing transparency and efficiency, this solution promises to elevate milk quality standards and foster trust among consumers, thereby strengthening the dairy industry's competitiveness and sustainability.
Keywords: IOT, Microcontroller, Transparency in billing, Machine Learning, Model Integration, Application development.
Cite:
Shivaraj Shetty, Mrs. Amrutha, Ranjith Shetty, Rao Suraj Nagesh, Shiva Patankar, "Effective Milk Grading and Billing Solution for Dairy Industry", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133103.
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DOI:
10.17148/IJARCCE.2024.133103
