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Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning

Tae-Kyeong Noh Min-Jung Yook Taek-Sung Lee Do-Soon Kim

Plant Phenomics2025，Vol.7Issue(3)：P.1-11,11.

Plant Phenomics2025，Vol.7Issue(3)：P.1-11,11.DOI:10.1016/j.plaphe.2025.100038

Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning

Tae-Kyeong Noh ¹Min-Jung Yook ¹Taek-Sung Lee ²Do-Soon Kim³

作者信息

1. Department of Agriculture,Forestry and Bioresources,Research Institute of Agriculture and Life Sciences,College of Agriculture and Life Sciences,Seoul National University,Seoul,Republic of Korea
2. Smart Farm Research Center,Korea Institute of Science and Technology,Gangneung,Republic of Korea
3. Department of Agriculture,Forestry and Bioresources,Research Institute of Agriculture and Life Sciences,College of Agriculture and Life Sciences,Seoul National University,Seoul,Republic of Korea Department of International Agricultural Technology,Graduate School of International Agricultural Technology,Seoul National University,Republic of Korea
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摘要

关键词

Herbicide screening/Herbicide modes of action/Spectral image analysis/Rapid diagnosis/Machine learning

分类

农业科技

引用本文复制引用

Tae-Kyeong Noh,Min-Jung Yook,Taek-Sung Lee,Do-Soon Kim..Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning[J].Plant Phenomics,2025,7(3):P.1-11,11.

基金项目

This work was carried out with the support of"Cooperative Research Program for Agricultural Science&Technology Development(Project No.RS-2024-00397586)",Rural Development Administration,Republic of Korea. （Project No.RS-2024-00397586）

Plant Phenomics

ISSN：2097-0374

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