A Review of Visual Estimation Research on Live Pig Weight
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 industrie...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/21/7093 |
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| author | Zhaoyang Wang Qifeng Li Qinyang Yu Wentai Qian Ronghua Gao Rong Wang Tonghui Wu Xuwen Li |
| author_facet | Zhaoyang Wang Qifeng Li Qinyang Yu Wentai Qian Ronghua Gao Rong Wang Tonghui Wu Xuwen Li |
| author_sort | Zhaoyang Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2ce9a74e8c0c41c6bf6397b03e702bec |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-2ce9a74e8c0c41c6bf6397b03e702bec2025-08-20T02:13:19ZengMDPI AGSensors1424-82202024-11-012421709310.3390/s24217093A Review of Visual Estimation Research on Live Pig WeightZhaoyang Wang0Qifeng Li1Qinyang Yu2Wentai Qian3Ronghua Gao4Rong Wang5Tonghui Wu6Xuwen Li7College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, ChinaResearch Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaResearch Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaResearch Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaResearch Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaResearch Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaResearch Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaResearch Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaThe 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.https://www.mdpi.com/1424-8220/24/21/7093weight estimationnon-contactcomputer visionimage analysispoint cloudstereoscopic vision |
| spellingShingle | Zhaoyang Wang Qifeng Li Qinyang Yu Wentai Qian Ronghua Gao Rong Wang Tonghui Wu Xuwen Li A Review of Visual Estimation Research on Live Pig Weight Sensors weight estimation non-contact computer vision image analysis point cloud stereoscopic vision |
| title | A Review of Visual Estimation Research on Live Pig Weight |
| title_full | A Review of Visual Estimation Research on Live Pig Weight |
| title_fullStr | A Review of Visual Estimation Research on Live Pig Weight |
| title_full_unstemmed | A Review of Visual Estimation Research on Live Pig Weight |
| title_short | A Review of Visual Estimation Research on Live Pig Weight |
| title_sort | review of visual estimation research on live pig weight |
| topic | weight estimation non-contact computer vision image analysis point cloud stereoscopic vision |
| url | https://www.mdpi.com/1424-8220/24/21/7093 |
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