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Jiawei Li, Qifeng Li, Weihong Ma, Xianglong Xue, Chunjiang Zhao, Dan Tulpan and Simon X. Yang
Body dimensions are key indicators for the beef cattle fattening and breeding process. On-animal measurement is relatively inefficient, and can induce severe stress responses among beef cattle and pose a risk for operators, thereby impacting the cattle?s...
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Shanghao Liu, Chunjiang Zhao, Hongming Zhang, Qifeng Li, Shuqin Li, Yini Chen, Ronghua Gao, Rong Wang and Xuwen Li
A clear understanding of the number of pigs plays a crucial role in breeding management. Computer vision technology possesses several advantages, as it is harmless and labour-saving compared to traditional counting methods. Nevertheless, the existing met...
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Fan Zhang, Junming Zhang, Qifeng Li, Yang Yang and Yunyan Sheng
Soil salinization is one of the main problems faced by modern agricultural production, especially cucumber production. This study screened the salt?alkali-tolerant cultivar ?D1909? and the salt?alkali-sensitive cultivar ?D1604? from 32 different cucumber...
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Weihong Ma, Xiangyu Qi, Yi Sun, Ronghua Gao, Luyu Ding, Rong Wang, Cheng Peng, Jun Zhang, Jianwei Wu, Zhankang Xu, Mingyu Li, Hongyan Zhao, Shudong Huang and Qifeng Li
Acquiring phenotypic data from livestock constitutes a crucial yet cumbersome phase in the breeding process. Traditionally, obtaining livestock phenotypic data primarily involves manual, on-body measurement methods. This approach not only requires extens...
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Lin Ru, Luyu Ding, Shuhui Deng, Qifeng Li, Wanying Zhao, Rong Wang, Jiawei Li, Yujian Lu and Chunxia Yao
Studying the distribution characteristics of bioaerosols and their interaction with the environment is crucial for dairy farms. The distribution of aerosols differs in dairy farming from farming of other livestock, and their sensitivity to environmental ...
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Rong Wang, Ronghua Gao, Qifeng Li and Jiabin Dong
As machine vision technology has advanced, pig face recognition has gained wide attention as an individual pig identification method. This study establishes an improved ResNAM network as a backbone network for pig face image feature extraction by combini...
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Rong Wang, Zongzhi Gao, Qifeng Li, Chunjiang Zhao, Ronghua Gao, Hongming Zhang, Shuqin Li and Lu Feng
Natural breeding scenes have the characteristics of a large number of cows, complex lighting, and a complex background environment, which presents great difficulties for the detection of dairy cow estrus behavior. However, the existing research on cow es...
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Xin Li, Lu Wang, Yang Xin, Yixian Yang, Qifeng Tang and Yuling Chen
This study can be applied to software vulnerability detection.
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Yicheng Luo, Yajing Xu, Si Li, Qifeng Qian and Bo Xiao
Convolutional neural networks have achieved great success in analyzing potential features inside tropical cyclones (TCs) using satellite images for intensity estimation. However, due to the high similarity of visual features in TC images, it is still a c...
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Qifeng Li, Zhenbo Qin, Jingyun Chen, Da-Hai Xia, Yida Deng, Yiwen Zhang, Zhong Wu and Wenbin Hu
Graphene (Gr) has proved its significant role as a reinforcement material in improving the strength of metal matrix composites due to its excellent mechanical properties. In this paper, Gr/Cu composite film with a layered structure was prepared by layeri...
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