Near-infrared spectroscopy for detection of hailstorm damage on olive fruit

Near-infrared spectroscopy for detection of hailstorm damage on olive fruit •NIR spectroscopy is feasible for hailstorm damage detection on olive fruit.•LDA and QDA allow reliable detection of hailstorm bruises.•1400–1550nm and 1900–2300nm spectral bands are the most performing wavelengths.•This approach provides the basis for a rapid on/in/at-line detection system.•NIR based method yielded an accuracy of around 96%. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Postharvest Biology and Technology Elsevier

Near-infrared spectroscopy for detection of hailstorm damage on olive fruit

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Publisher
Elsevier
Copyright
Copyright © 2016 Elsevier B.V.
ISSN
0925-5214
D.O.I.
10.1016/j.postharvbio.2016.06.011
Publisher site
See Article on Publisher Site

Abstract

•NIR spectroscopy is feasible for hailstorm damage detection on olive fruit.•LDA and QDA allow reliable detection of hailstorm bruises.•1400–1550nm and 1900–2300nm spectral bands are the most performing wavelengths.•This approach provides the basis for a rapid on/in/at-line detection system.•NIR based method yielded an accuracy of around 96%.

Journal

Postharvest Biology and TechnologyElsevier

Published: Oct 1, 2016

References

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