Combining multiple spectral enhancement features for improving spectroscopic asymptomatic detection and symptomatic severity classification of southern corn leaf blight

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成果类型：

期刊论文

作者：

Lv, Zhengang;Meng, Ran;Chen, Gengshen;Zhao, Feng;Xu, Binyuan;...

通讯作者：

Ran Meng

作者机构：

[Zhao, Yutao; Meng, Ran; Lv, Zhengang; Zhou, Longfei; Zeng, Linglin; Huang, Zehua; Xu, Binyuan] Huazhong Agr Univ, Coll Resources & Environm, Wuhan 430070, Peoples R China.

[Yan, Jianbing; Chen, Gengshen] Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China.

[Zhao, Feng] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.

[Yan, Jianbing] Hubei Hongshan Lab, Wuhan 430070, Peoples R China.

[Meng, Ran] HIT Artificial Intelligence Res Inst Co Ltd, Harbin 150000, Peoples R China.

通讯机构：

[Ran Meng] C

College of Resources and Environment, Huazhong Agricultural University, Wuhan, China<&wdkj&>HIT Artificial Intelligence Research Institute Co., Ltd, Harbin, China

语种：

英文

关键词：

Southern corn leaf blight;Asymptomatic detection;RELIEF-F algorithm;Continuous wavelet transform;Spectral derivatives

期刊：

Precision Agriculture

ISSN：

1385-2256

年：

2023

卷：

期：

页码：

1593-1618

DOI：

10.1007/s11119-023-10010-2

基金类别：

Key Research and Development Program of Heilongjiang, China [2022ZX01A25]; Shenzhen Institute of Agricultural Genomics [SZYJY2022014]; Fundamental Research Funds for the Central Universities [2662022ZHYJ002]; HZAU research startup fund [11041810340, 11041810341]; National Natural Science Foundation of China [41901382]

机构署名：

本校为其他机构

院系归属：

城市与环境科学学院

摘要：

Southern corn leaf blight (SCLB) seriously threatens corn production. The timely and accurate monitoring of SCLB conditions (e.g., detection during the asymptomatic stage and severity classification during the symptomatic stage) is valuable for precision agriculture, because the application of pesticides depends on disease conditions. Compared with time-consuming and laborious field surveys, spectroscopy is a promising tool for plant disease monitoring. The unique advantages of combining multiple spectral enhancement features for monitoring rice and wheat diseases have been recognized. However...

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Combining multiple spectral enhancement features for improving spectroscopic asymptomatic detection and symptomatic severity classification of southern corn leaf blight

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