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Leveraging Machine Learning Techniques to Improve Learning and Recommendations Within Dairy Farms: Towards High Milk Yields for Small-Scale Farmers

Leveraging Machine Learning Techniques to Improve Learning and Recommendations Within Dairy Farms: Towards High Milk Yields for Small-Scale Farmers
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Author(s): Devotha G. Nyambo (Nelson Mandela African Institution of Science and Technology, Tanzania), Glory C. Malamsha (Nelson Mandela African Institution of Science and Technology, Tanzania)and Fatuma Mavura (Nelson Mandela African Institution of Science and Technology, Tanzania)
Copyright: 2023
Pages: 17
Source title: Impact of Disruptive Technologies on the Socio-Economic Development of Emerging Countries
Source Author(s)/Editor(s): Fredrick Japhet Mtenzi (Institute for Educational Development, The Aga Khan University, Tanzania), George S. Oreku (The Open University of Tanzania, Tanzania)and Dennis M. Lupiana (Institute of Finance Management, Tanzania)
DOI: 10.4018/978-1-6684-6873-9.ch011

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Abstract

Tanzania's small-scale dairy industry faces similar challenges to those of other developing nations whereby insufficient infrastructure, outdated technology, and low productivity are serious problems for higher milk yield. Tanzania urgently needs to adopt cutting-edge solutions in order to boost dairy performance. With 3500 households' secondary data and 202 households' primary data from 8 villages throughout the Kilimanjaro and Arusha regions, this chapter demonstrates the use of machine learning (ML) techniques to derive homogeneous production clusters and recommendations for more milk yield among dairy farmers. The likelihood for higher milk yield is demonstrated for various clusters with the use of support, confidence, and lift values of association rules analysis. Finally, the production clusters and recommendations are deployed through a mobile application. Recommendations for future improvement are suggested especially on further deployment of learning recommendations and development of a platform-independent mobile solution.

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