The role of artificial intelligence in livestock farming for improved animal health and productivity: opportunities, challenges, and future research direction

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Date

2026-05-11

Journal Title

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Volume Title

Publisher

East African Journal of Agriculture and Biotechnology

Abstract

Livestock farming is a growing sector globally, and it makes a big contribution to GDP and food security. In Sub-Saharan countries such as Tanzania, livestock farming is used as a means of poverty eradication in some communities, but it requires a lot of manpower, time, and material resources to monitor animal health and welfare. As the number of animal farming enterprises increases, the continued use of traditional livestock monitoring methods may reduce economic outputs and the welfare of animals; thus, farmers are opting for ICT solutions to mitigate this. Machine learning and artificial intelligence (AI) are used to revolutionise how livestock is managed and monitored. Machine learning algorithms are an integral part of precision livestock farming. Farmers can use it to streamline the monitoring of animal behaviour and welfare, predict disease outbreaks, and optimise feeding schedules. This paper aims to assess the role of artificial intelligence technology in animal husbandry to improve animal one health and production. We conducted a systematic literature review from relevant databases. Finding studies showed that AI has a great role in animal husbandry. The studies revealed that AI technology has various uses like health monitoring, reproduction monitoring (oestrus and parturition and pedigree), real-time data collection, automated milking, location tracking, and identification of animals, hence theft prevention, detection of animal parameters, Hatchery condition detection, reducing workload, pasture evaluation, and grazing management. To conclude, we propose an artificial intelligence– based framework for monitoring livestock and increasing animal productivity and sustainability in Tanzania.

Description

Journal Article

Keywords

Smart Farming, Livestock Farming, Animal Production, Animal Health, Tanzania

Citation

Barakabitze, A. A. & Sanga, C. (2026). The Role of Artificial Intelligence in Livestock Farming for Improved Animal Health and Productivity: Opportunities, Challenges, and Future Research Directions. East African Journal of Agriculture and Biotechnology, 9(2), 62-87. https://doi.org/10.37284/eajab.9.2.4957