文献类型： 外文期刊
作者： Wang, Zhaoyang 1 ; Li, Qifeng 2 ; Yu, Qinyang 2 ; Qian, Wentai 2 ; Gao, Ronghua 2 ; Wang, Rong 2 ; Wu, Tonghui 2 ; Li, Xuwen 2 ;
作者机构： 1.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Res Ctr Informat Technol, Beijing 100097, Peoples R China
3.Huazhong Agr Univ, Coll Informat, Wuhan 430070, Peoples R China
4.Shanxi Agr Univ, Coll Agr Engn, Jinzhong 030801, Peoples R China
5.Tianjin Agr Univ, Coll Comp & Informat Engn, Tianjin 300384, Peoples R China
关键词： weight estimation; non-contact; computer vision; image analysis; point cloud; stereoscopic vision
期刊名称：SENSORS （ 影响因子：3.5； 五年影响因子：3.7 ）
ISSN：
年卷期： 2024 年 24 卷 21 期
页码：
收录情况： SCI
摘要： The weight of live pigs is directly related to their health, nutrition management, disease prevention and control, and the overall economic benefits to livestock enterprises. Direct weighing can induce stress responses in pigs, leading to decreased productivity. Therefore, modern livestock industries are increasingly turning to non-contact techniques for estimating pig weight, such as automated monitoring systems based on computer vision. These technologies provide continuous, real-time weight-monitoring data without disrupting the pigs' normal activities or causing stress, thereby enhancing breeding efficiency and management levels. Two methods of pig weight estimation based on image and point cloud data are comprehensively analyzed in this paper. We first analyze the advantages and disadvantages of the two methods and then discuss the main problems and challenges in the field of pig weight estimation technology. Finally, we predict the key research areas and development directions in the future.
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