DETECTION OF FUSARIUM ON WHEAT USING NEAR INFRARED HYPERSPECTRAL IMAGING

被引：0

作者：

Saccon, Fernando A. M. ^{[1
]}

Eirewainy, Ahmed ^{[1
]}

Parcey, Dennis ^{[3
]}

Paliwal, Jitendra ^{[2
]}

Sherif, Sherif S. ^{[1
]}

机构：

[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB, Canada

[2] Univ Manitoba, Dept Biosyst Engn, Winnipeg, MB, Canada

[3] Channel Syst Inc, Pinawa, MB, Canada

来源：

2016 PHOTONICS NORTH (PN) | 2016年

关键词：

Fusarium; hyperspectral imaging; dimensionality reduction; independent component analysis; genetic algorithm;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Hyperspectral imaging from 820 nm to 1666 nm was used on sound and Fusarium graminearum infected samples of Canadian Western Red Spring Wheat. Samples had moisture contents of 19%, 27% and 35%, and infection level ranging from 0 to 56 days. Genetic algorithm optimization, using information theoretic fitness criterion, reduced the original 256 wavelengths hypercube to a set of only 10 wavelengths. Independent component analysis was able to separate sound kernels from Fusarium damaged ones from as early as 14th day after infection.

引用

页数：1

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