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中文期刊(566296)
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computers and electronics in agriculture(26)
agriculture-basel(15)
international journal of agricultural and biological engineering(9)
frontiers in plant science(7)
agronomy-basel(6)
chinese science bulletin-chinese(5)
pest management science(5)
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Chen, Liping(0)

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beijing acad agr & forestry sci, res ctr intelligent equipment, beijing 100097, peoples r china(28)
beijing acad agr & forestry sci, intelligent equipment res ctr, beijing 100097, peoples r china(24)
natl res ctr intelligent equipment agr, beijing 100097, peoples r china(22)
natl ctr int res agr aerial applicat technol, beijing 100097, peoples r china(19)
beijing acad agr & forestry sci, beijing res ctr intelligent equipment agr, beijing 100097, peoples r china(17)
beijing res ctr intelligent equipment agr, beijing 100097, peoples r china(14)
natl engn res ctr informat technol agr, beijing 100097, peoples r china(13)
china agr univ, coll informat & elect engn, beijing 100083, peoples r china(12)
beijing acad agr & forestry sci, beijing key lab intelligent equipment technol agr, beijing 100097, peoples r china(11)
beijing acad agr & forestry sci, natl res ctr intelligent equipment agr, beijing 100097, peoples r china(11)

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资源类型: 外文期刊

作者:Chen, Liping(精确检索)

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201The OsMAPK6-OsWRKY72 module positively regulates rice leaf angle through brassinosteroid signals

作者： Wang, Fuxiang; Zhang, Ling; Cui, Lili; Zhao, Yongchao; Huang, Yi; Jiang, Minrong; Cai, Qiuhua; Lian, Ling; Zhu, Yongsheng; Xie, Hongguang; Chen, Liping; Xiao, Yanjia; Xie, Huaan; Zhang, Jianfu; Wang, Fuxiang; Zhang, Ling; Cui, Lili; Zhao, Yongchao; Huang, Yi; Jiang, Minrong; Cai, Qiuhua; Lian, Ling; Zhu, Yongsheng; Xie, Hongguang; Chen, Liping; Xiao, Yanjia; Xie, Huaan; Zhang, Jianfu; Wang, Fuxiang; Zhang, Ling; Zhao, Yongchao; Huang, Yi; Jiang, Minrong; Xie, Huaan; Zhang, Jianfu; SCI

机构： Fujian Acad Agr Sci, Rice Res Inst, Fuzhou 350019, Peoples R China; Natl Ctr Rice Improvement China, State Key Lab Ecol Pest Control Fujian & Taiwan Cr, Key Lab Germplasm Innovat & Mol Breeding Hybrid Ri, Fuzhou Branch,South Base Natl Key Lab Hybrid Rice, Fuzhou 350003, Peoples R China; Fujian Agr & Forestry Univ, Coll Agr, Fuzhou 350002, Peoples R China;

来源：PLANT COMMUNICATIONS

关键词： OsWRKY72; OsBRI1; OsMAPK6; leaf angle; plant architecture

年份：2025

202Exploring phenotypic differences and dynamic associations among lettuce types based on high-throughput phenotyping platform

作者： Zhao, Yue; Chen, Liping; Zhao, Yue; Fan, Jiangchuan; Yang, Si; Gu, Shenghao; Wen, Weiliang; Lu, Xianju; Li, Yinglun; Guo, Xinyu; Chen, Liping; Zhao, Yue; Fan, Jiangchuan; Yang, Si; Gu, Shenghao; Wen, Weiliang; Lu, Xianju; Li, Yinglun; Guo, Xinyu; Chen, Liping; SCI

机构： China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China; Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China; China Natl Engn Res Ctr Informat Technol Agr NERCI, Beijing 100097, Peoples R China;

来源：COMPUTERS AND ELECTRONICS IN AGRICULTURE

关键词： Instance segmentation; Lettuce; YOMASK; Time series; Growth dynamics; Phenotypic fingerprint

年份：2025

203Small secreted peptides (SSPs) in tomato and their potential roles in drought stress response

作者： Xu, Kexin; Wang, Tingjin; Zhang, Aijun; Elsadek, Mohamed Abdou Youssef; Liu, Weihong; Chen, Liping; Tian, Dongdong; Guo, Yongfeng; SCI

机构： Zhejiang Univ, Coll Agr & Biotechnol, Dept Hort, Hangzhou 310058, Peoples R China; Chinese Acad Agr Sci, Tobacco Res Inst, Qingdao 266101, Peoples R China;

来源：MOLECULAR HORTICULTURE

关键词： Small secreted peptide; Tomato; Drought stress; CEP peptide

年份：2023

204YOMASK: An instance segmentation method for high-throughput phenotypic platform lettuce images

作者： Zhao, Yue; Chen, Liping; Zhao, Yue; Li, Tao; Wen, Weiliang; Lu, Xianju; Yang, Si; Fan, Jiangchuan; Guo, Xinyu; Chen, Liping; Zhao, Yue; Li, Tao; Wen, Weiliang; Lu, Xianju; Yang, Si; Fan, Jiangchuan; Guo, Xinyu; Chen, Liping; SCI

来源：COMPUTERS AND ELECTRONICS IN AGRICULTURE

关键词： Instance segmentation; Lettuce; High throughput; Plant phenotyping; Attention mechanism; Deep learning

年份：2025

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