SUMMARY OF ARTICLE


Lalmalsawmi Colney
Ph.D. Scholar (AG&B),ICAR-NDRI, ERS, Kalyani, West Bengal
Akilan M.
M.V. Sc Scholar (AG&B), ICAR-NDRI, ERS, Kalyani, West Bengal
Sylvia Lalhmingmawii
Ph.D. Scholar (AG&B),ICAR-NDRI, ERS, Kalyani, West Bengal
Ajoy Mandal
Principal Scientist (AG&B), ICAR-NDRI, ERS, Kalyani, Nadia, West Bengal
ajoymandal@gmail.com

ABSTRACT

Climate change brings major challenges to livestock production, notably due to its adverse effects on the productivity, health, and welfare of the animals. Heat stress interferes with the normal physiological, behavioural, and reproductive functioning of the animals, resulting in financial losses to the farmers due to reduction in the quantity and quality of animal products. To overcome these challenges, Artificial Intelligence (AI) provides novel approaches for sustainable livestock management by allowing real-time monitoring, predictive modelling, and efficient decision-making processes. AI technologies are utilized to analyze heat stress effects, enhance feeding strategies, maximize reproductive performance, and evaluate animal genetic potential for climate resilience. Furthermore, AI-integrated approaches enhance the welfare of animals by recognizing health concerns early, minimizing transportation and environmental stress, and providing targeted and efficient solutions. Therefore, these technological developments promote sustainable and climate-resilient livestock farming and protect rural livelihoods.

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