Research on the estimation of wheat AGB at the entire growth stage based on improved convolutional features
Research on the estimation of wheat AGB at the entire growth stage based on improved convolutional features
摘要
关键词
wheat/above-ground biomass/UAV/entire growth stage/convolutional featureKey words
wheat/above-ground biomass/UAV/entire growth stage/convolutional feature引用本文复制引用
Tao Liu,Chengming Sun,Jianliang Wang,Jiayi Wang,Yuanyuan Zhao,Hui Wang,Weijun Zhang,Zhaosheng Yao,Shengping Liu,Xiaochun Zhong..Research on the estimation of wheat AGB at the entire growth stage based on improved convolutional features[J].农业科学学报(英文),2025,24(4):1403-1423,21.基金项目
This research was supported by the Postgraduate Research & Practice Innovation Program of Jiangsu Province,China(SJCX23_1973),the National Natural Science Foundation of China(32172110,32071945),the Key Research and Development Program(Modern Agriculture)of Jiangsu Province,China(BE2022342-2,BE2020319),the Anhui Province Crop Intelligent Planting and Processing Technology Engineering Research Center Open Project,China(ZHKF04),the National Key Research and Development Program of China(2023YFD2300201,2023YFD1202200),the Special Funds for Scientific and Technological Innovation of Jiangsu Province,China(BE2022425),the Priority Academic Program Development of Jiangsu Higher Education Institutions,China(PAPD),the Central Public-interest Scientific Institution Basal Research Fund,China(JBYW-AII-2023-08),the Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences(CAAS-CS-202201),and the Special Fund for Independent Innovation of Agriculture Science and Technology in Jiangsu Province,China(CX(22)3112). (SJCX23_1973)