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Qing Li
School/Department: College of Agriculture
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral degree
Alma Mater:
南京农业大学
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Paper Publications
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CropQuant-Air: an AI-powered system to enable phenotypic analysis of yield- and performance-related traits using wheat canopy imagery collected by low-cost drones
Release time:2024-01-02
Hits:
Impact Factor:
5.3
Affiliation of Author(s):
农学院
Journal:
FRONTIERS IN PLANT SCIENCE
Co-author:
Chen Jiawei,Zhou Jie,Li Qing,Li Hanghang,Xia Yunpeng,Jackson Robert,Sun Gang,Zhou Guodong,Deakin Greg,Jiang Dong,Zhou Ji
Document Code:
2c9e868c8aada37b018ab1426bd84853
Volume:
14
Translation or Not:
no
Date of Publication:
2023-06-19
Pre One:
Extraction of Wheat Spike Phenotypes From Field-Collected Lidar Data and Exploration of Their Relationships With Wheat Yield
Next One:
Enhancing crop resilience: Understanding the role of drought priming in wheat stress response