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奶牛场管理中的计算机视觉:当前应用及未来展望的文献综述

Computer Vision in Dairy Farm Management: A Literature Review of Current Applications and Future Perspectives.

作者信息

Antognoli Veronica, Presutti Livia, Bovo Marco, Torreggiani Daniele, Tassinari Patrizia

机构信息

Department of Agricultural and Food Sciences (DISTAL), University of Bologna, 40127 Bologna, Italy.

出版信息

Animals (Basel). 2025 Aug 26;15(17):2508. doi: 10.3390/ani15172508.

Abstract

Computer vision is rapidly transforming the field of dairy farm management by enabling automated, non-invasive monitoring of animal health, behavior, and productivity. This review provides a comprehensive overview of recent applications of computer vision in dairy farming management operations, including cattle identification and tracking, and consequently the assessment of feeding and rumination behavior, body condition score, lameness and lying behavior, mastitis and milk yield, and social behavior and oestrus. By synthesizing findings from recent studies, we highlight how computer vision systems contribute to improving animal welfare and enhancing productivity and reproductive performance. The paper also discusses current technological limitations, such as variability in environmental conditions and data integration challenges, as well as opportunities for future development, particularly through the integration of artificial intelligence and machine learning. This review aims to guide researchers and practitioners toward more effective adoption of vision-based technologies in precision livestock farming.

摘要

计算机视觉正通过实现对动物健康、行为和生产力的自动化、非侵入性监测,迅速改变奶牛场管理领域。本综述全面概述了计算机视觉在奶牛养殖管理操作中的最新应用,包括牛的识别与跟踪,以及由此对采食和反刍行为、体况评分、跛行和躺卧行为、乳腺炎和产奶量,以及社交行为和发情的评估。通过综合近期研究的结果,我们强调了计算机视觉系统如何有助于改善动物福利、提高生产力和繁殖性能。本文还讨论了当前的技术局限性,如环境条件的变异性和数据集成挑战,以及未来发展的机遇,特别是通过人工智能和机器学习的整合。本综述旨在指导研究人员和从业者在精准畜牧业中更有效地采用基于视觉的技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f70/12427296/2c03967b719c/animals-15-02508-g001.jpg

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