Non-Destructive Detection Pilot Study of Vegetable Organic Residues Using VNIR Hyperspectral Imaging and Deep Learning Techniques

Non-Destructive Detection Pilot Study of Vegetable Organic Residues Using VNIR Hyperspectral Imaging and Deep Learning Techniques

Contamination is a critical issue that affects food consumption adversely. Therefore, efficient detection and classification of food contaminants are essential to ensure food safety. This study applied a visible and near-infrared (VNIR) hyperspectral imaging technique to detect and classify organic...

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Bibliographic Details
Main Authors: Youngwook Seo, Giyoung Kim, Jongguk Lim, Ahyeong Lee, Balgeum Kim, Jaekyung Jang, Changyeon Mo, Moon S. Kim
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
VNIR hyperspectral imaging
vegetable organic residue
stainless-steel surface
detection
classification
food contaminants
Online Access:https://www.mdpi.com/1424-8220/21/9/2899

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https://www.mdpi.com/1424-8220/21/9/2899

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