Informatics & dairy industry coalition: AI trends and present challenges
Silvia Garc\'ia-M\'endez, Francisco de Arriba-P\'erez, Mar\'ia del, Carmen Somoza-L\'opez

TL;DR
This paper discusses how AI, especially machine learning, can transform the dairy industry by improving processes and monitoring, while addressing current challenges in implementing these technologies effectively.
Contribution
It provides a comprehensive overview of AI challenges in the dairy industry and proposes technological solutions for cattle monitoring and farm management.
Findings
Identifies key industrial challenges for AI adoption in dairy farming
Proposes advanced technological solutions for cattle monitoring
Highlights the potential benefits of AI in improving dairy industry efficiency
Abstract
Artificial Intelligence (AI) can potentially transform the industry, enhancing the production process and minimizing manual, repetitive tasks. Accordingly, the synergy between high-performance computing and powerful mathematical models enables the application of sophisticated data analysis procedures like Machine Learning. However, challenges exist regarding effective, efficient, and flexible processing to generate valuable knowledge. Consequently, this work comprehensively describes industrial challenges where AI can be exploited, focusing on the dairy industry. The conclusions presented can help researchers apply novel approaches for cattle monitoring and farmers by proposing advanced technological solutions to their needs.
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