Advancements in artificial intelligence technology for improving animal welfare: Current applications and research progress

Li Zhang, Wenqiang Guo, Chenrui Lv, Meng Guo, Mei Yang, Qiuyue Fu, Xiaomeng Liu
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Abstract

The integration of Artificial Intelligence (AI) in various sectors has led to significant advancements, with the animal industry being no exception. This review aims to investigate the benefits, limitations, and future prospects of AI technology in improving animal welfare. First, it examines the role of AI in understanding animal behaviors and emotions, providing deeper insights into their well-being and sources of stress. Next, the paper explores how AI can revolutionize animal nutrition through innovative algorithms and data analytics. The health aspect emphasizes the ability of AI to identify and manage illnesses through intelligent systems. This review also highlights the application of AI in improving animal living conditions, with a focus on environmental management and automated cleaning and disinfection systems. In conclusion, the review emphasizes AI-driven techniques for early prediction, close monitoring, and accurate diagnosis of animal diseases, ensuring healthier and more sustainable livestock management. By leveraging its advantages, addressing limitations, and exploring future directions, AI has the potential to significantly enhance animal welfare, sustainable agriculture, and veterinary practices.

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人工智能技术在改善动物福利方面的进步:当前应用与研究进展
人工智能(AI)与各行各业的结合带来了重大进步,动物行业也不例外。本综述旨在探讨人工智能技术在改善动物福利方面的益处、局限性和未来前景。首先,本文探讨了人工智能在理解动物行为和情绪方面的作用,从而更深入地了解动物的福祉和压力来源。接下来,本文探讨了人工智能如何通过创新算法和数据分析彻底改变动物营养状况。健康方面强调了人工智能通过智能系统识别和管理疾病的能力。本综述还强调了人工智能在改善动物生活条件方面的应用,重点是环境管理以及自动清洁和消毒系统。总之,本综述强调人工智能驱动的技术可用于动物疾病的早期预测、密切监测和准确诊断,从而确保更健康、更可持续的牲畜管理。通过利用其优势、解决局限性和探索未来方向,人工智能有可能显著提高动物福利、可持续农业和兽医实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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