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副高级
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Paper Publications

Harnessing UAVs and deep learning for accurate grass weed detection in wheat fields: a study on biomass and yield implications

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Affiliation of Author(s):农学院

Journal:PLANT METHODS

Co-author:赵圆圆,王慧,武威,杨天乐,张伟军,朱少龙

First Author:LT

Correspondence Author:姚照胜

Volume:20(1)

ISSN No.:1746-4811

Translation or Not:no

Date of Publication:2024-01-01

Pre One:High-throughput identification of fusarium head blight resistance in wheat varieties using field robot-assisted imaging and deep learning techniques

Next One:The estimation of wheat yield combined with UAV canopy spectral and volumetric data

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Harnessing UAVs and deep learning for accurate grass weed detection in wheat fields: a study on biomass and yield implications