Detection of fungal infections in strawberry fruit by VNIR/SWIR hyperspectral imaging

Detection of fungal infections in strawberry fruit by VNIR/SWIR hyperspectral imaging •Hyperspectral image technique was applied for detection of fungal infection in fruits.•The performance of several supervised classification models was compared.•19 wavelengths were significant for discrimination of infections in strawberries.•The BNN model gave the best accuracy for discrimination of fungal infected fruits. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Building and Environment Elsevier

Detection of fungal infections in strawberry fruit by VNIR/SWIR hyperspectral imaging

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier B.V.
ISSN
0360-1323
D.O.I.
10.1016/j.postharvbio.2018.01.018
Publisher site
See Article on Publisher Site

Abstract

•Hyperspectral image technique was applied for detection of fungal infection in fruits.•The performance of several supervised classification models was compared.•19 wavelengths were significant for discrimination of infections in strawberries.•The BNN model gave the best accuracy for discrimination of fungal infected fruits.

Journal

Building and EnvironmentElsevier

Published: Mar 15, 2018

References

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