Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yingjie Kuang"'
Autor:
Jiajun Lai, Yun Liang, Yingjie Kuang, Zhannan Xie, Hongyuan He, Yuxin Zhuo, Zekai Huang, Shijie Zhu, Zenghang Huang
Publikováno v:
Agriculture, Vol 13, Iss 7, p 1349 (2023)
Accurate detection and counting of live pigs are integral to scientific breeding and production in intelligent agriculture. However, existing pig counting methods are challenged by heavy occlusion and varying illumination conditions. To overcome thes
Externí odkaz:
https://doaj.org/article/d0e89d98cd6948dc801b16e815cfa049
Autor:
Fuyu An, Hongmei Yan, Xuelin Xu, Yingjie Kuang, Xianghe Wang, Zhidong Zhang, Zhenyu Ren, Jiejian Zou, Fanghui Hou, Kai Wang, Yan Hua
Publikováno v:
Animals, Vol 13, Iss 7, p 1162 (2023)
Venous blood gas analytes are commonly examined in animals, and the results may be important when evaluating the overall health status of an animal. Pangolins are critically endangered mammals, and there is limited information on their physiological
Externí odkaz:
https://doaj.org/article/25c6636139624d8b83800327b3ccc7e1
Autor:
Xiaolang Chen, Tianlong Yang, Kaizhan Mai, Caixing Liu, Juntao Xiong, Yingjie Kuang, Yuefang Gao
Publikováno v:
Animals, Vol 12, Iss 8, p 1047 (2022)
In precision dairy farming, computer vision-based approaches have been widely employed to monitor the cattle conditions (e.g., the physical, physiology, health and welfare). To this end, the accurate and effective identification of individual cow is
Externí odkaz:
https://doaj.org/article/261c2dee962346f68eac2f8f6fbe30dd
Autor:
Huang, Jiajun Lai, Yun Liang, Yingjie Kuang, Zhannan Xie, Hongyuan He, Yuxin Zhuo, Zekai Huang, Shijie Zhu, Zenghang
Publikováno v:
Agriculture; Volume 13; Issue 7; Pages: 1349
Accurate detection and counting of live pigs are integral to scientific breeding and production in intelligent agriculture. However, existing pig counting methods are challenged by heavy occlusion and varying illumination conditions. To overcome thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::16a30e7176fa5022474972324fe00222
Publikováno v:
2022 9th International Conference on Digital Home (ICDH).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::977eea5b8d5ae4a3c4a556a56fec8093
https://doi.org/10.1109/icdh57206.2022.00013
https://doi.org/10.1109/icdh57206.2022.00013
Autor:
Zhidong Zhang, Kai Wang, Fuyu An, Xuelin Xu, Hongmei Yan, Yingjie Kuang, Chuanshan Zou, Yan Hua
Background: Chinese pangolin (Manis pentadactyla), one of the most endangered species in the world, has suffered a sharp decline due to heavy hunting and illegal trade. The artificial diet has difficulty satisfying the nutritional needs of captive pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7115aab9c7bbeab9fca2848709631a2
https://doi.org/10.21203/rs.3.rs-2032613/v1
https://doi.org/10.21203/rs.3.rs-2032613/v1
Autor:
Ximing Li, Jingyi Wu, Yongding Huang, Zeyong Zhao, Jiayong Wen, Shikai Sun, Huanlong Xie, Yingjie Kuang, Yuefang Gao
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c420121c76c717400c18e47fc7da03f9
https://doi.org/10.2139/ssrn.4088415
https://doi.org/10.2139/ssrn.4088415
Autor:
Lina, Zhang, Kai, Wang, Fuyu, An, Dongliang, Zhang, Hailing, Zhang, Xuelin, Xu, Ce, Guo, Hongmei, Yan, Yingjie, Kuang, Zhidong, Zhang, Rongguang, Lu, Yan, Hua
Publikováno v:
Transboundary & Emerging Diseases; Nov2022, Vol. 69 Issue 6, p4002-4008, 7p
Publikováno v:
ACM TUR-C
Automatic farm livestock detection and recognition have high importance in the management of livestock due to the increasing potentials in dairy cow welfare as well as production efficiency. In contrast to the general object (e.g., person, car and bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7aef3dd75cc77d52f90e1b7e5cc6e72
https://doi.org/10.1145/3321408.3322628
https://doi.org/10.1145/3321408.3322628
Publikováno v:
Biometric Recognition ISBN: 9783030314552
CCBR
CCBR
In practical applications of cow face recognition, the accuracy is often lower than expected because of the influence of camera’s low resolution and position. In this paper, we aim to develop and pilot a method for improving recognition accuracy an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f5bbb0dd56e019007dd86224e5cf383
https://doi.org/10.1007/978-3-030-31456-9_24
https://doi.org/10.1007/978-3-030-31456-9_24