刘龙申, 柳荦, 周杰, 等. 母猪精准养殖智能感知技术研究进展[J]. 华南农业大学学报, 2024, 45(5): 635-648. DOI: 10.7671/j.issn.1001-411X.202404037
    引用本文: 刘龙申, 柳荦, 周杰, 等. 母猪精准养殖智能感知技术研究进展[J]. 华南农业大学学报, 2024, 45(5): 635-648. DOI: 10.7671/j.issn.1001-411X.202404037
    LIU Longshen, LIU Luo, ZHOU Jie, et al. Research progress on precision breeding and intelligent sensing technologies for sows[J]. Journal of South China Agricultural University, 2024, 45(5): 635-648. DOI: 10.7671/j.issn.1001-411X.202404037
    Citation: LIU Longshen, LIU Luo, ZHOU Jie, et al. Research progress on precision breeding and intelligent sensing technologies for sows[J]. Journal of South China Agricultural University, 2024, 45(5): 635-648. DOI: 10.7671/j.issn.1001-411X.202404037

    母猪精准养殖智能感知技术研究进展

    Research progress on precision breeding and intelligent sensing technologies for sows

    • 摘要: 母猪的生长状况、繁殖性能与健康状况是猪场管理的重要生产要素,直接关系到猪场的经济效益。我国母猪养殖还存在生产管理智能化水平低、健康管理效率低、生产力水平低等突出问题,制约了我国养殖业的高质量发展。本文从母猪生长信息感知技术、繁殖行为监测技术、健康状态感知技术等3个方面,总结了母猪精准养殖管理中生长、生理、健康监测的研究和发展现状,分析了母猪精准养殖技术的薄弱环节,对母猪养殖智慧管控系统的建设提出了建议,并对未来的发展趋势进行了展望,以期为我国养猪业绿色高效智能转型升级与智能养猪工厂的建设提供参考。

       

      Abstract: The growth conditions, reproductive performance, and health status of sows are important indicators for swine farm management. It directly relates to the economic benefits of pig farm. There are still prominent problems for sow farming in China, such as low level of production management intelligence, inefficient health management, and low productivity, which restrict the high-quality development of breeding industry in China. This article reviewed the research and development status of growth, physiological and health monitoring in precision breeding management of sows from three aspects, including sow growth information perception technology, reproductive behavior monitoring technology, and health status perception technology. The weak links of precision breeding technologies for sows were analyzed. The suggestions for the construction of future intelligent control system for sow breeding were proposed, and the development trends of precision breeding technologies for sows were prospected. This work aims to provide references for the green, efficient and intelligent transformation and upgrading of pig farming industry and the construction of intelligent pig farm in China.

       

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