Dayanand Naik, Nidhisha and K Shetty, Manish and Bhyratae, Suhas A. (2025) Smart Milk Quality Monitoring System: IoT-Driven Sensor and Data Analytics Interface. International Journal of Innovative Science and Research Technology, 10 (3): 25mar1061. pp. 1573-1581. ISSN 2456-2165
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Abstract
Since agriculture plays such a significant role in India’s economy, the dairy industry helps the country. Milk is a valuable food for human mortal beings. Quality milk must not contain any contaminants but, for the purpose of increasing the amount of milk some contaminants are included which can decrease the nutritional quality of milk. Farmers supply milk for the preparation of dairy items, and their wages are based on the quality of the milk.The dairy business has an acute problem with regards to guaranteeing milk quality since the assessment techniques used are intensive and subjective.The people who are living more luxurious lives are following trends and customers’ demands owing to the global fast-paced growth. This project aims to revolutionize milk quality assessment and management by integrating IoT and advanced data analytics into a comprehensive monitoring system. By utilizing sensors for pH, temperature, and color, the system detects adulter- ation and assesses milk suitability for consumption, including for infants. Real-time data is processed to provide actionable insights through an intuitive user interface, empowering farmers to make informed decisions. The objectives are to enhance milk quality, protect consumer health, and support agricultural sustainability. Expected outcomes include improved milk safety, increased farmer competitiveness, and promotion of sustainable farming practices, ultimately ensuring safe and nutritious milk for consumers. Consequently, India’s agricultural lifestyle needs to be improved.
Item Type: | Article |
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Subjects: | S Agriculture > SF Animal culture |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Geography |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 04 Apr 2025 09:14 |
Last Modified: | 04 Apr 2025 09:14 |
URI: | https://eprint.ijisrt.org/id/eprint/236 |