A Non-Destructive System Using UVE Feature Selection and Lightweight Deep Learning to Assess Wheat Fusarium Head Blight Severity Levels.

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Title: A Non-Destructive System Using UVE Feature Selection and Lightweight Deep Learning to Assess Wheat Fusarium Head Blight Severity Levels.
Authors: Liang, Xiaoying1,2,3 (AUTHOR), Yang, Shuo1,2,3 (AUTHOR), Mu, Lin3,4 (AUTHOR), Shi, Huanrui1,2,3,4 (AUTHOR), Yao, Zhifeng1,2,3 (AUTHOR), Chen, Xu1,2,3 (AUTHOR) chenxu029@126.com
Source: Agronomy. Sep2025, Vol. 15 Issue 9, p2051. 18p.
Database: Academic Search Ultimate
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  Data: A Non-Destructive System Using UVE Feature Selection and Lightweight Deep Learning to Assess Wheat Fusarium Head Blight Severity Levels.
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  Data: <searchLink fieldCode="JN" term="%22Agronomy%22">Agronomy</searchLink>. Sep2025, Vol. 15 Issue 9, p2051. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188324726
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        Value: 10.3390/agronomy15092051
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        Text: English
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            – D: 01
              M: 09
              Text: Sep2025
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              Y: 2025
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