Portable Diffuse Reflectance Spectroscopy of Potato Leaves for Pre-Symptomatic Detection of Late Blight Disease

被引：4

作者：

Zhou, Chen ^{[1
]}

Bucklew, Victor G. ^{[2
]}

Edwards, Perry S. ^{[2
]}

Zhang, Chenji ^{[1
]}

Yang, Jinkai ^{[1
]}

Ryan, Philip J. ^{[1
]}

Hughes, David P. ^{[3
]}

Qu, Xinshun ^{[4
]}

Liu, Zhiwen ^{[1
,5
]}

机构：

[1] Penn State Univ, Dept Elect Engn, University Pk, PA USA

[2] Atoptix Inc, State Coll, PA USA

[3] Penn State Univ, Dept Entomol, University Pk, PA USA

[4] Penn State Univ, Dept Plant Pathol & Environm Microbiol, University Pk, PA USA

[5] Penn State Univ, Dept Elect Engn, N-211 Millennium Sci Complex, University Pk, PA 16802 USA

来源：

APPLIED SPECTROSCOPY | 2023年 / 77卷 / 05期

基金：

美国国家科学基金会;

关键词：

Diffuse reflectance spectroscopy; DRS; miniature spectrophotometer; machine learning; pre-symptomatic plant disease detection; potato late blight; PLANT-DISEASE; REAL-TIME; LEAF; FORESTS;

D O I：

10.1177/00037028231165342

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

We report on the use of leaf diffuse reflectance spectroscopy for plant disease detection. A smartphone-operated, compact diffused reflectance spectrophotometer is used for field collection of leaf diffuse reflectance spectra to enable pre-symptomatic detection of the progression of potato late blight disease post inoculation with oomycete pathogen Phytophthora infestans. Neural-network-based analysis predicts infection with >96% accuracy, only 24 h after inoculation with the pathogen, and nine days before visual late blight symptoms appear. Our study demonstrates the potential of using portable optical spectroscopy in tandem with machine learning analysis for early diagnosis of plant diseases.

引用

页码：491 / 499

页数：9

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