College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Australian Centre for Field Robotics (ACFR), Faculty of Engineering, The University of Sydney, Sydney, NSW 2006, Australia.
Sensors (Basel). 2022 Aug 30;22(17):6541. doi: 10.3390/s22176541.
Pork accounts for an important proportion of livestock products. For pig farming, a lot of manpower, material resources and time are required to monitor pig health and welfare. As the number of pigs in farming increases, the continued use of traditional monitoring methods may cause stress and harm to pigs and farmers and affect pig health and welfare as well as farming economic output. In addition, the application of artificial intelligence has become a core part of smart pig farming. The precision pig farming system uses sensors such as cameras and radio frequency identification to monitor biometric information such as pig sound and pig behavior in real-time and convert them into key indicators of pig health and welfare. By analyzing the key indicators, problems in pig health and welfare can be detected early, and timely intervention and treatment can be provided, which helps to improve the production and economic efficiency of pig farming. This paper studies more than 150 papers on precision pig farming and summarizes and evaluates the application of artificial intelligence technologies to pig detection, tracking, behavior recognition and sound recognition. Finally, we summarize and discuss the opportunities and challenges of precision pig farming.
猪肉在畜产品中占有重要的比例。对于养猪业，需要大量的人力、物力和时间来监测猪的健康和福利。随着养殖猪数量的增加，继续使用传统的监测方法可能会给猪和农民带来压力和伤害，影响猪的健康和福利以及养殖的经济产出。此外，人工智能的应用已成为智能养猪的核心部分。精准养猪系统使用摄像机和射频识别等传感器实时监测猪的声音和行为等生物特征信息，并将其转化为猪健康和福利的关键指标。通过分析这些关键指标，可以及早发现猪健康和福利方面的问题，并及时提供干预和治疗，有助于提高养猪的生产和经济效益。本文研究了 150 多篇关于精准养猪的论文，总结和评估了人工智能技术在猪检测、跟踪、行为识别和声音识别方面的应用。最后，我们总结和讨论了精准养猪的机遇和挑战。
