Use of AI systems in developing a more sustainable animal husbandry and production

Hancz, Csaba (2026) Use of AI systems in developing a more sustainable animal husbandry and production. ANIMAL WELFARE ETOLÓGIA ÉS TARTÁSTECHNOLÓGIA / ANIMAL WELFARE ETHOLOGY AND HOUSING SYSTEMS, 22 (1). pp. 28-40. ISSN 1786-8440

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Abstract

AI systems have become integral to many fundamental human activities, including industry, agriculture, healthcare, and scientific research. A comprehensive review of the literature on primary AI applications in animal husbandry and production has been conducted. Relevant sources were collected and evaluated using available AI research tools to assess the benefits and efficiency of these applications. The results obtained in the areas of animal health and welfare monitoring, precision feeding and nutrition optimization, breeding program development, sustainable farming, and the automation and robotics of farm operations were then reviewed. It can be concluded that efficiency benefits exist in every area of animal production. However, as discussed here, problems, barriers, and challenges in implementing AI tools are also present. The study also aimed to introduce the most frequently used AI tools for reviewing the ever-growing literature, paying special attention to Elicit — an AI tool developed for research — to demonstrate an optimal research strategy; however, it has not been proven to be faultless in the selection of sources. Referentia and Verifing, advanced AI tools that extract references from any type of scientific paper and compare live titles with those cited in your paper to help identify outdated links, title mismatches, and inaccessible sources, were also tested and produced surprising results.

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