WPDSI: A deep learning method for wheat phenology detection from single-temporal images
Year: 2025
Type: article
Language: en
Topic: Smart Agriculture and AI
Authors and affiliations:
raw_author_name: Yan Li
raw_affiliation_strings: Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China
raw_author_name: Yucheng Cai
raw_affiliation_strings: Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China
raw_author_name: Xuerui Qi
raw_affiliation_strings: Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China
raw_author_name: Suyi Liu
raw_affiliation_strings: Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China
raw_author_name: Xiangxin Zhuang
raw_affiliation_strings: Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China
raw_author_name: Hengbiao Zheng
raw_affiliation_strings: Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China
raw_author_name: Yongchao Tian
raw_affiliation_strings: Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China
raw_author_name: Yan Zhu
raw_affiliation_strings: Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China
raw_author_name: Weixing Cao
raw_affiliation_strings: Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China
raw_author_name: Xiaohu Zhang
raw_affiliation_strings: Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing, 211800, China
Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Nanjing, 211800, China
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, 211800, China