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Applications of Machine Learning to Address Complex Problems in Livestock

2024 3rd International Conference for Innovation in Technology (INOCON)(2024)

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Abstract
Machine Learning and Deep Learning-based applications have a vast potential to monitor livestock. Precise Livestock Farming (PLF) is essential to the smooth functioning of a farm to make it profitable in all aspects. PLF derives through feed monitoring, reproductively cycling, health, farm shelter, etc. It helps to maintain overall productivity and recognize health issues like foot-and-mouth disease, lameness, stress level, respiration rate, heart rates, lumpy skin disease etc., and bio-waste management. Assessment helps plan timely medication, vaccination, precaution and treatment for viral diseases. PLF also provides a solution for better health through emotional checkups to avoid loss from livestock. Precise Livestock Farming (PLF) can be practical when associated activities are effectively implemented and categorized in SLF and DLF.
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Key words
Body Condition Score (BCS),Digital Livestock Farming (DLF),Precise Livestock Farming (PLF),Smart Livestock Farming (SLF)
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