A semi-supervised deep learning framework based on multi-source data for wheat: from counting to yield estimation

已完结 10 由 yy 发布于 2026/4/16 19:28:09

DOI:10.1016/j.isprsjprs.2026.03.026
作者：Qing Geng , Xin Xu , Xinming Ma , Fan Xu , Jiayue Yu , Xiaoqiang Yang , Yupeng Deng , Diyou Liu , Li Li , Bingbo Gao , Yu Meng , Jianyu Yang ,&nb
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Efficient quantification of wheat ears and spike grains is crucial for yield estimation but is currently hindered by the heavy reliance on labor-intensive manual annotations and complex fiel

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierPhase field simulations for the crossover from sharp martensitic transformation into smooth strain glass transition by fine precipitates