Machine Learning Applications in Dairy Production
The Fourth Industrial Revolution (Industry 4.0) brings a new chapter at dairy sector. Dairy 4.0 technologies are based on Big Data Analysis, Internet of Things, Robotics and Machine Learning. The usage of smart technologies to processing and analyzing complicated massive data has a significant impact in automation, optimization, functional costs and innovation. Artificial Intelligence tools are applied from dairy farms and production lines � including packaging- to supply chain. The aim of this paper is to demonstrate the most used applications of Machine Learning in dairy production so as to enhance the sustainability and the quality of dairy products. The most significant Machine Learning applications integrate machine vision, smart environmental sensors, activity collars, thermal imaging cameras, and digitized supply chain systems to facilitate inventory management. Challenges like milk adulteration, animal diseases, mastitis, traceability and supply chain losses are also addressed since they increase safety and quality standards in the dairy sector.
Authors
- Jan Van Impe (ORCID: https://orcid.org/0000-0002-5904-1638)
- Satyajeet Bhonsale (ORCID: https://orcid.org/0000-0001-9734-4122)
- Efstathia Tsakali (ORCID: https://orcid.org/0000-0001-5630-1572)
- Alexandra Petrokolou
Institutions
- University of West Attica (GR)
- National Center for Genetic Engineering and Biotechnology (TH)
- KU Leuven (BE)
Publication Details
- Journal
- Systems and Control Transactions
- Published
- 2025-06-30
- DOI
- https://doi.org/10.69997/sct.109074
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- University of West Attica
- European Education and Culture Executive Agency
- Education, Audiovisual and Culture Executive Agency
- Erasmus+