Remote sensing monitoring of wheat leaf rust based on UAV multispectral imagery and the BPNN method

Remote sensing monitoring of wheat leaf rust based on UAV multispectral imagery and the BPNN method

Abstract Wheat (Triticum aestivum L.) leaf rust is the most common and widely distributed wheat disease. Non‐destructive and real‐time methods for monitoring wheat leaf rust can help prevent and control plant diseases in agricultural production. In this study, we obtained multispectral imagery of th...

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Bibliographic Details
Main Authors: Chengxin Ju, Chen Chen, Rui Li, Yuanyuan Zhao, Xiaochun Zhong, Ruilin Sun, Tao Liu, Chengming Sun
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:Food and Energy Security
Subjects:
backpropagation neural network
multispectral imagery
spectral reflectance
vegetation index
wheat leaf rust
Online Access:https://doi.org/10.1002/fes3.477

Internet

https://doi.org/10.1002/fes3.477

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