Applications of artificial intelligence in the dairy Industry: From farm to product development
2
Issued Date
2025-11-01
Resource Type
ISSN
01681699
Scopus ID
2-s2.0-105013289933
Journal Title
Computers and Electronics in Agriculture
Volume
238
Rights Holder(s)
SCOPUS
Bibliographic Citation
Computers and Electronics in Agriculture Vol.238 (2025)
Suggested Citation
Khanashyam A.C., Jagtap S., Agrawal T.K., Thorakkattu P., Malav O.P., Trollman H., Hassoun A., Ramesh B., Manoj V., Rathnakumar K., Bekhit A.E.D.A., Nirmal N. Applications of artificial intelligence in the dairy Industry: From farm to product development. Computers and Electronics in Agriculture Vol.238 (2025). doi:10.1016/j.compag.2025.110879 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/111806
Title
Applications of artificial intelligence in the dairy Industry: From farm to product development
Author's Affiliation
University of Minnesota Twin Cities
University of Wisconsin-Madison
Icahn School of Medicine at Mount Sinai
Chalmers University of Technology
University of Otago
Mahidol University
Kansas State University
Cranfield University
Lunds Tekniska Högskola
Guru Angad Dev Veterinary and Animal Sciences University
University of Aleppo
University of Leicester School of Business
TKM Institute of Technology
Sustainable AgriFoodtech Innovation and Research (SAFIR)
University of Wisconsin-Madison
Icahn School of Medicine at Mount Sinai
Chalmers University of Technology
University of Otago
Mahidol University
Kansas State University
Cranfield University
Lunds Tekniska Högskola
Guru Angad Dev Veterinary and Animal Sciences University
University of Aleppo
University of Leicester School of Business
TKM Institute of Technology
Sustainable AgriFoodtech Innovation and Research (SAFIR)
Corresponding Author(s)
Other Contributor(s)
Abstract
The dairy industry faces increasing demand for enhanced productivity, sustainability, and innovation. Artificial Intelligence (AI) has emerged as a transformative tool capable of addressing these challenges by enabling data-driven decision-making across the dairy supply chain. AI integrates machine learning (ML), big data analytics (DA), and predictive algorithms (PA) to optimize processes, improve efficiency, and foster innovation. This review examines the diverse applications of AI in the dairy industry, including dairy farming, processing, and product development. In this context, an overview of AI, including ML, DA, and various algorithms used in these processes, is discussed. A major discussion has been provided on AI for animal performance (e.g., disease detection, reproductive management, milk yield enhancement, nutrition) and sustainable practices (e.g., emission control, precision farming). Furthermore, AI in dairy processing (quality control and process optimization) and product development (flavor and texture prediction, and customized products) has been developed. Finally, the challenges of AI integration, including data privacy, ethical considerations, and technical barriers, are reported. The findings indicate that AI revolutionizes traditional practices by enabling precise farming, energy-efficient processing, and the creation of customized, high-quality products. Despite its transformative potential, challenges, such as ethical concerns and technological limitations, must be addressed.