Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Deqin Xiao"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 7, Pp 102143- (2024)
Fish counting is crucial in fish farming. Density map-based fish counting methods hold promise for fish counting in high-density scenarios; however, they suffer from ineffective ground truth density map generation. High labeling complexities and dist
Externí odkaz:
https://doaj.org/article/9ece339c75f44957be91d8fe32302245
Autor:
Weiqing Ma, Yang Fu, Shanshan Zhu, Daiyang Xia, Shuangshuang Zhai, Deqin Xiao, Yongwen Zhu, Michel Dione, Lukuyu Ben, Lin Yang, Wence Wang
Publikováno v:
Journal of Animal Science and Biotechnology, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Background Ochratoxin A (OTA) is a mycotoxin widely present in raw food and feed materials and is mainly produced by Aspergillus ochraceus and Penicillium verrucosum. Our previous study showed that OTA principally induces liver inflammation
Externí odkaz:
https://doaj.org/article/877657a6d3754ee4ad70a0d62f85da2f
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1052 (2024)
Intelligent pest detection algorithms are capable of effectively detecting and recognizing agricultural pests, providing important recommendations for field pest control. However, existing recognition models have shortcomings such as poor accuracy or
Externí odkaz:
https://doaj.org/article/4ff3e131eb1440c2b13d325261805346
Publikováno v:
Animals, Vol 14, Iss 10, p 1505 (2024)
Pig tracking provides strong support for refined management in pig farms. However, long and continuous multi-pig tracking is still extremely challenging due to occlusion, distortion, and motion blurring in real farming scenarios. This study proposes
Externí odkaz:
https://doaj.org/article/911fe96ecd2d48a690a2eba2a6c053bc
Publikováno v:
Crop Journal, Vol 10, Iss 5, Pp 1323-1333 (2022)
Spike development directly affects the yield and quality of rice. We describe an algorithm for automatically identifying multiple developmental stages of rice spikes (AI-MDSRS) that transforms the automatic identification of multiple developmental st
Externí odkaz:
https://doaj.org/article/ccf7799a405a464cb05fcb3b01e4bcf9
Publikováno v:
Animals, Vol 13, Iss 24, p 3755 (2023)
In the field of livestock management, noncontact pig weight estimation has advanced considerably with the integration of computer vision and sensor technologies. However, real-world agricultural settings present substantial challenges for these estim
Externí odkaz:
https://doaj.org/article/b75b351371834e2a8e10421f70194f66
Autor:
Ximing Li, Jingyi Wu, Zeyong Zhao, Yitao Zhuang, Shikai Sun, Huanlong Xie, Yuefang Gao, Deqin Xiao
Publikováno v:
Animals, Vol 13, Iss 23, p 3721 (2023)
Broiler weighing is essential in the broiler farming industry. Camera-based systems can economically weigh various broiler types without expensive platforms. However, existing computer vision methods for weight estimation are less mature, as they foc
Externí odkaz:
https://doaj.org/article/28e2d4d2d05e4bd689dbdba9a027ea7b
Publikováno v:
Sensors, Vol 23, Iss 14, p 6309 (2023)
Pig counting is an important task in pig sales and breeding supervision. Currently, manual counting is low-efficiency and high-cost and presents challenges in terms of statistical analysis. In response to the difficulties faced in pig part feature de
Externí odkaz:
https://doaj.org/article/5f9e9c9526f14f8da9510c73b9bb9a02
Publikováno v:
Animals, Vol 13, Iss 8, p 1376 (2023)
The body mass of pigs is an essential indicator of their growth and health. Lately, contactless pig body mass estimation methods based on computer vision technology have gained attention thanks to their potential to improve animal welfare and ensure
Externí odkaz:
https://doaj.org/article/2d60c8e564c44eb0948c8c13c896db9f
Publikováno v:
IEEE Access, Vol 9, Pp 86843-86854 (2021)
The tillering period of rice is the crucial phenological period for the cultivation of high-quality and high-yield rice. Currently, human inspection is mainly used for identification, but it is time-consuming, laborious, and prone to mistakes. To eff
Externí odkaz:
https://doaj.org/article/5ad5749458694b6bb2d8c71f7135c58d