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Zeyu Lu, Lingtian Zhang, Qing Mu, Junyang Liu, Yu Chen, Haoyuan Wang, Yanjun Zhang, Rui Su, Ruijun Wang, Zhiying Wang, Qi Lv, Zhihong Liu, Jiasen Liu, Yunhua Li and Yanhong Zhao
Due to recent innovations in gene editing technology, great progress has been made in livestock breeding, with researchers rearing gene-edited pigs, cattle, sheep, and other livestock. Gene-editing technology involves knocking in, knocking out, deleting,...
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Min Hao, Quan Sun, Chuanzhong Xuan, Xiwen Zhang, Minghui Zhao and Shuo Song
To achieve automated farming management, including the recording, tracking, and statistics of sheep, we harness deep learning technology for sheep face recognition research, and the further development of lightweight sheep face recognition models. Deep l...
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Xiaodong Wang, Yuhang Guo, Yiru Wang, Yunling Peng, Hongwei Zhang and Jun Zheng
Drought stress presents a significant threat to the growth and development of maize. It is important to study the genes and mechanisms that contribute to drought tolerance. In this study, we identified ZmHDT103 (that encodes a histone deacetylase) by con...
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Wenfeng Li, Jiao Pan, Wenyi Peng, Yingzhi Li and Chao Li
Garlic (Allium sativum) is an important economic crop in China. In terms of using remote sensing technology to identify it, there is still room for improvement, and the high-precision classification of garlic has become an important issue. However, to th...
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Kangwen Zhu, Yan Zhang, Xiaosong Tian, Dongjie Guan, Sheng Zhang, Yong He and Lilei Zhou
Analysis of the relationship between future land use change and agricultural non-point source pollution (ANPSP) evolution is vital to promoting sustainable regional development. By simulating future land use types, we can identify and analyze the evoluti...
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