Comparison of algorithms for monitoring wheat powdery mildew using multi-angular remote sensing data-Reference-Cited by-同舟云学术

Comparison of algorithms for monitoring wheat powdery mildew using multi-angular remote sensing data

Published:2022-10 Issue:5 Volume:10 Page:1312-1322
ISSN:2214-5141
Container-title:The Crop Journal
language:en
Short-container-title:The Crop Journal

Author:

Song Li,Wang Luyuan,Yang Zheqing,He Li,Feng Ziheng,Duan Jianzhao,Feng Wei,Guo Tiancai

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science

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4. Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: a review;Zhang;Food Res. Int.,2014

5. Detection of powdery mildew in two winter wheat plant densities and prediction of grain yield using canopy hyperspectral reflectance;Cao;PLoS ONE,2015

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