Machine Learning in Animal Healthcare: A Comprehensive Review
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International Journal of Recent Engineering Science (IJRES) |  |
| © 2024 by IJRES Journal | ||
| Volume-11 Issue-3 |
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| Year of Publication : 2024 | ||
| Authors : Sneha Das,Ram Kishore Roy, Tulshi Bezboruah |
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| DOI : 10.14445/23497157/IJRES-V11I3P109 |
How to Cite?
Sneha Das,Ram Kishore Roy, Tulshi Bezboruah, "Machine Learning in Animal Healthcare: A Comprehensive Review," International Journal of Recent Engineering Science, vol. 11, no. 3, pp. 89-93, 2024. Crossref, https://doi.org/10.14445/23497157/IJRES-V11I3P109
Abstract
Observing and tracking diseases in animals is a matter of concern in the present-day scenario. Though several methods are available, yet there is a gap in the proper and early detection of animal diseases. The advanced technologies are applicable only to a few diseases that are too not known by most livestock owners. If known, sometimes it becomes inaccessible due to cost and distance. In the present review work, we have analyzed the various methods and machine learning algorithms used in animal healthcare with special reference to the future aspects of thosemethods. The observations of the study suggest that machine learning algorithms if employed properly, will be of great help in animal healthcare in the early detection of disease, work on big datasets, error-free results and real-time applications.
Keywords
Animal disease, Cattle disease, Foot and Mouth disease, Lumpy skin disease, Machine learning algorithms.
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