Application of multispectral reflectance for early detection of tomato disease

Huirong Xu; Shengpan Zhu; Yibin Ying; Huanyu Jiang

doi:10.1117/12.685531

23 October 2006 Application of multispectral reflectance for early detection of tomato disease

Huirong Xu, Shengpan Zhu, Yibin Ying, Huanyu Jiang

Author Affiliations +

Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 63810R (2006) https://doi.org/10.1117/12.685531
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

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 models 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.

Citation Download Citation

Huirong Xu, Shengpan Zhu, Yibin Ying, and Huanyu Jiang "Application of multispectral reflectance for early detection of tomato disease", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 63810R (23 October 2006); https://doi.org/10.1117/12.685531

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