Share Email Print

Proceedings Paper

Hyperspectral imaging techniques for diagnosis and monitoring of potato diseases
Author(s): Xinting Li; Jie Feng; Xinye Wang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Hyperspectral imaging technology is used to study methods for diagnosing and monitoring potato diseases, so as to improve the efficiency and accuracy of disease diagnosis and monitoring, and to solve the information acquisition, processing and analysis of potato diseases. The experiment took potato late blight as the research object, using hyperspectral image acquisition system to collect the hyperspectral image data of potato plants for different days. After disease inoculation, in the hyperspectral image data in the range of 366-976 nm, feature extraction method was used to select the image corresponding to the characteristic wavelength and optimal principal component image. Hyperspectral imagery of potato plants was used to obtain spectral reflectance at different disease stages, and then the disease incidence trend of inoculation of late plague was studied to realize disease monitoring. The research results show that using hyperspectral imaging technology can achieve rapid and accurate diagnosis of potato disease.

Paper Details

Date Published: 9 November 2018
PDF: 7 pages
Proc. SPIE 10826, Infrared, Millimeter-Wave, and Terahertz Technologies V, 108261T (9 November 2018); doi: 10.1117/12.2502668
Show Author Affiliations
Xinting Li, Yunnan Normal Univ. (China)
Jie Feng, Yunnan Normal Univ. (China)
Xinye Wang, Yunnan Normal Univ. (China)

Published in SPIE Proceedings Vol. 10826:
Infrared, Millimeter-Wave, and Terahertz Technologies V
Cunlin Zhang; Xi-Cheng Zhang; Masahiko Tani, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?