Strategies for Advanced Production: A Review of the Use of AI in the Dairy Industry

Artificial intelligence (AI) in the dairy industry is helping to enhance efficiency and sustainability across various key areas, such as animal health, milk quality, milk production analysis, and the monitoring and improvement of dairy products, such as cheese, yogurt, and butter. Beyond productivity, AI-based tools enable companies to measure their environmental impact and forecast the demand for dairy products—factors that are equally critical to this industry. This review aims to address the use of AI from the animal to the final product, within the context of its environmental impact, and to identify areas that require further attention due to their vulnerability in terms of robustness and effectiveness.

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Publication Details

Journal
Animals
Published
2026-04-29
DOI
https://doi.org/10.3390/ani16091363
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
0.00

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article

Strategies for Advanced Production: A Review of the Use of AI in the Dairy Industry

Rommy Díaz, David Cancino-Baier, Gastón Sepúlveda Truan, José M. Lorenzo et al.
Animals
Food Supply Chain Traceability
article

Strategies for Advanced Production: A Review of the Use of AI in the Dairy Industry

Rommy Díaz, David Cancino-Baier, Gastón Sepúlveda Truan, José M. Lorenzo, Rubén Agregán, Néstor Sepúlveda, Isabela Pérez Núñez, John Quiñones
article en

Abstract

Artificial intelligence (AI) in the dairy industry is helping to enhance efficiency and sustainability across various key areas, such as animal health, milk quality, milk production analysis, and the monitoring and improvement of dairy products, such as cheese, yogurt, and butter. Beyond productivity, AI-based tools enable companies to measure their environmental impact and forecast the demand for dairy products—factors that are equally critical to this industry. This review aims to address the use of AI from the animal to the final product, within the context of its environmental impact, and to identify areas that require further attention due to their vulnerability in terms of robustness and effectiveness.

AnimalsVol. 16(9)
Universidad de La Frontera (CL), Centro Tecnológico de Automoción de Galicia (ES), Universidade de Vigo (ES)
Axencia Galega de Innovación
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Food Supply Chain Traceability
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Strategies for Advanced Production: A Review of the Use of AI in the Dairy Industry — Rommy Díaz, David Cancino-Baier, et al. · Animals (2026) | TGRS Research Map | TGRS