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Proceedings Paper

Cucumber disease diagnosis using multispectral images
Author(s): Jie Feng; Hongning Li; Junsheng Shi; Weiping Yang; Ningfang Liao
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Paper Abstract

In this paper, multispectral imaging technique for plant diseases diagnosis is presented. Firstly, multispectral imaging system is designed. This system utilizes 15 narrow-band filters, a panchromatic band, a monochrome CCD camera, and standard illumination observing environment. The spectral reflectance and color of 8 Macbeth color patches are reproduced between 400nm and 700nm in the process. In addition, spectral reflectance angle and color difference is obtained through measurements and analysis of color patches using spectrometer and multispectral imaging system. The result shows that 16 narrow-bands multispectral imaging system realizes good accuracy in spectral reflectance and color reproduction. Secondly, a horticultural plant, cucumber' familiar disease are the researching objects. 210 multispectral samples are obtained by multispectral and are classified by BP artificial neural network. The classification accuracies of Sphaerotheca fuliginea, Corynespora cassiicola, Pseudoperonospora cubensis are 100%. Trichothecium roseum and Cladosporium cucumerinum are 96.67% and 90.00%. It is confirmed that the multispectral imaging system realizes good accuracy in the cucumber diseases diagnosis.

Paper Details

Date Published: 10 July 2009
PDF: 7 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890E (10 July 2009); doi: 10.1117/12.836944
Show Author Affiliations
Jie Feng, Yunnan Normal Univ. (China)
Hongning Li, Yunnan Normal Univ. (China)
Junsheng Shi, Yunnan Normal Univ. (China)
Weiping Yang, Yunnan Normal Univ. (China)
Ningfang Liao, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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