Application of multispectral reflectance for early detection of tomato disease

被引：5

作者：

Xu, Huirong ^{[1
]}

Zhu, Shengpan ^{[1
]}

Ying, Yibin ^{[1
]}

Jiang, Huanyu ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310029, Peoples R China

来源：

OPTICS FOR NATURAL RESOURCES, AGRICULTURE, AND FOODS | 2006年 / 6381卷

基金：

中国国家自然科学基金;

关键词：

plant disease; TMV-U1; multispectral reflectance; early discrimination; DPLS; MD;

D O I：

10.1117/12.685531

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

Automatic diagnosis of plant disease is important for plant management and environmental preservation in the future. The objective of this study is to use multispectral reflectance measurements to make an early discrimination between the healthy and infected plants by the strain of tobacco mosaic virus (TMV-U1) infection. There were reflectance changes in the visible (VIS) and near infrared spectroscopy (NIR) between the healthy and infected plants. Discriminant models were developed using discriminant partial least squares (DPLS) and Mahalanobis distance (MD). The DPLS triodels had a root mean square error of calibration (RMSEC) of 0.397 and correlation coefficient (r) of 0.59 and the MD model correctly classified 86.7% healthy plants and up to 91.7% infected plants.

引用

页数：8

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