Precision livestock farming for climate-resilient livestock management: a review of real-time monitoring and decision support systems
文献类型： 外文期刊
作者： Nsabiyeze, Assa 1 ; Zhang, Mengjie 1 ; Li, Jun 2 ; Zhao, Qinan 3 ; Zhang, Xiaoshuan 1 ;
作者机构： 1.China Agr Univ, Coll Engn, Beijing 100083, Peoples R China
2.China Agr Univ, Coll Econ & Management, Beijing 100083, Peoples R China
3.Inner Mongolia Acad Agr & Anim Husb Sci, Hohhot 010000, Peoples R China
4.China Agr Univ, Sanya Inst, Sanya 572024, Peoples R China
关键词： Precision livestock farming (PLF); Real-time monitoring; Climate resilience; Decision support systems (DSS); Sustainable animal farming
期刊名称：JOURNAL OF CLEANER PRODUCTION （ 影响因子：10.0； 五年影响因子：10.7 ）
ISSN： 0959-6526
年卷期： 2025 年 524 卷
页码：
收录情况： SCI
摘要： With the world population anticipated to reach 10 billion by the year 2050, the demand for animal-sourced foods is increasing, and this will severely burden sustainable livestock management. Climate change also worsens these issues, affecting animal welfare, productivity, and farm operations. Precision livestock farming (PLF) technology and decision support systems (DSS) offer effective means to solve this problem, as they allow for real-time monitoring and data-driven decision-making. Herein, this review explores the role of PLF and DSS in climateresilient livestock management and discusses advancements in sensor-based systems, the Internet of Things (IoT), and predictive analytics. While these technologies can improve efficiency, reduce greenhouse gas (GHG) emissions, and improve animal welfare, they are not widely adopted due to the high cost and scalability. This study identifies gaps in the system-level use of PLF and DSS and provides recommendations for future research. In the end, we addressed the challenges and benefits associated with PLF and DSS for climate-resilient livestock.
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