Hyperspectral imaging techniques for diagnosis and monitoring of potato diseases

Xinting Li; Jie Feng; Xinye Wang

doi:10.1117/12.2502668

9 November 2018 Hyperspectral imaging techniques for diagnosis and monitoring of potato diseases

Xinting Li, Jie Feng, Xinye Wang

Proceedings Volume 10826, Infrared, Millimeter-Wave, and Terahertz Technologies V; 108261T (2018) https://doi.org/10.1117/12.2502668
Event: SPIE/COS Photonics Asia, 2018, Beijing, China

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.

Citation Download Citation

Xinting Li, Jie Feng, and Xinye Wang "Hyperspectral imaging techniques for diagnosis and monitoring of potato diseases", Proc. SPIE 10826, Infrared, Millimeter-Wave, and Terahertz Technologies V, 108261T (9 November 2018); https://doi.org/10.1117/12.2502668

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