LAPSE:2025.0546
Published Article
LAPSE:2025.0546
Machine Learning Applications in Dairy Production
June 27, 2025
Abstract
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.
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.
Record ID
Keywords
Algorithms, Artificial Intelligence, Artificial Neural Network, Dairy Production, Machine Learning, Milk
Suggested Citation
Petrokolou A, Bhonsale SS, Impe JFV, Tsakali E. Machine Learning Applications in Dairy Production. Systems and Control Transactions 4:2454-2459 (2025) https://doi.org/10.69997/sct.109074
Author Affiliations
Petrokolou A: Department of Food Science and Technology, University of West Attica, Egaleo, Greece
Bhonsale SS: BioTeC+ -Chemical and Biochemical Process Technology and Control, KU Leuven, Gent,
Impe JFV: BioTeC+ -Chemical and Biochemical Process Technology and Control, KU Leuven, Gent,
Tsakali E: Department of Food Science and Technology, University of West Attica, Egaleo, Greece; BioTeC+ -Chemical and Biochemical Process Technology and Control, KU Leuven, Gent,
Bhonsale SS: BioTeC+ -Chemical and Biochemical Process Technology and Control, KU Leuven, Gent,
Impe JFV: BioTeC+ -Chemical and Biochemical Process Technology and Control, KU Leuven, Gent,
Tsakali E: Department of Food Science and Technology, University of West Attica, Egaleo, Greece; BioTeC+ -Chemical and Biochemical Process Technology and Control, KU Leuven, Gent,
Journal Name
Systems and Control Transactions
Volume
4
First Page
2454
Last Page
2459
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 2454-2459-1709-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0546
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https://doi.org/10.69997/sct.109074
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Jun 27, 2025
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