Authors :
Nidhisha Dayanand Naik; Manish K Shetty; Suhas A. Bhyratae
Volume/Issue :
Volume 10 - 2025, Issue 3 - March
Google Scholar :
https://tinyurl.com/5xkat87r
Scribd :
https://tinyurl.com/3w7844fp
DOI :
https://doi.org/10.38124/ijisrt/25mar1061
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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.
Keywords :
Dairy Sector, Adulteration, IoT (Internet of Things), Sensors, Real-Time Data, Agricultural Sustainability, Consumer Health.
References :
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- N. Sowmya and V. Ponnusamy. Development of spectroscopic sensor system for an iot application of adulteration identification on milk using machine learning. IEEE Access, 9:53979–53995, 2021.
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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.
Keywords :
Dairy Sector, Adulteration, IoT (Internet of Things), Sensors, Real-Time Data, Agricultural Sustainability, Consumer Health.