Indian Dairy AssociationIDA

SUMMARY OF ARTICLE

BACK

Arijit Ray
Research Scholar, Dairy Engineering Division, ICAR-NDRI, Karnal
Chitranayak Sinha
Principal Scientist, Dairy Engineering Division,ICAR-NDRI, Karnal
Adesh Kumar Sharma
Principal Scientist, Dairy Economics, Statistics & Management Division, ICAR-NDRI, Karnal
adeshkumar.sharma@gmail.com		Kaushik Khamrui
Principal Scientist, Dairy Technology Division, ICAR-NDRI, Karnal

ABSTRACT

The Dairy 4.0 paradigm in India reflects the integration of Artificial Intelligence (AI) and Machine Learning (ML) into dairy processing, transforming it into a data-driven and sustainable system. AI–ML models enable precise prediction, quality control, and process optimization across the dairy value chain. Using sensor and experimental data, models such as neural networks and regression techniques improve decision-making and efficiency. Applications include spoilage detection, fermentation prediction, and shelf-life estimation. Advanced tools and hybrid frameworks further enhance performance. Overall, AI–ML adoption strengthens productivity, traceability, and sustainability, positioning the Indian dairy sector for global competitiveness and intelligent, automated operations.
If you want to read full article, subscribe the journal.
The views expressed by the authors do not necessarily reflect the views of IDA. Any article or news item published in this journal may not be reproduced without prior permission.