Estimation of Leaf Nitrogen Content in Rice Coupling Feature Fusion and Deep Learning with Multi-Sensor Images from UAV
Year: 2025
Type: article
Language: en
Topic: Remote Sensing in Agriculture
Authors and affiliations:
raw_author_name: Xinlei Xu
raw_affiliation_strings: College of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
School of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
raw_author_name: Xinlei Xu
raw_affiliation_strings: College of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
School of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
raw_author_name: Xingang Xu
raw_affiliation_strings: College of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
raw_author_name: Xingang Xu
raw_affiliation_strings: College of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
raw_author_name: Sizhe Xu
raw_affiliation_strings: Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
raw_author_name: Yang Meng
raw_affiliation_strings: Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
raw_author_name: Guijun Yang
raw_affiliation_strings: Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
raw_author_name: Bo Xu
raw_affiliation_strings: Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
raw_author_name: Xiaodong Yang
raw_affiliation_strings: Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
School of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
raw_author_name: Xiaoyu Song
raw_affiliation_strings: Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
raw_author_name: Hanyu Xue
raw_affiliation_strings: College of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
raw_author_name: Yuekun Song
raw_affiliation_strings: Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
raw_author_name: Tuo Wang
raw_affiliation_strings: Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China