Improved Spectral Detection of Nitrogen Deficiency and Yellow Mosaic Disease Stresses in Wheat Using a Soil Effect Removal Algorithm and Machine Learning

Improved Spectral Detection of Nitrogen Deficiency and Yellow Mosaic Disease Stresses in Wheat Using a Soil Effect Removal Algorithm and Machine Learning

Wheat yellow mosaic disease is a low-temperature and soil-borne disease. Crop infection by the yellow mosaic virus can lead to severe yield and economic losses. It is easily confused with nitrogen deficiency based on the plant’s morphological characteristics. Timely disease detection and crop manage...

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Bibliographic Details
Main Authors: Ziheng Feng, Haiyan Zhang, Jianzhao Duan, Li He, Xinru Yuan, Yuezhi Gao, Wandai Liu, Xiao Li, Wei Feng
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
nitrogen deficiency
yellow mosaic virus
detection of stress
remote sensing
machine learning
Online Access:https://www.mdpi.com/2072-4292/15/10/2513

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https://www.mdpi.com/2072-4292/15/10/2513

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