Cargando…
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...
Autores principales: | Seo, Youngwook, Kim, Giyoung, Lim, Jongguk, Lee, Ahyeong, Kim, Balgeum, Jang, Jaekyung, Mo, Changyeun, Kim, Moon S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122335/ https://www.ncbi.nlm.nih.gov/pubmed/33919118 http://dx.doi.org/10.3390/s21092899 |
Ejemplares similares
-
Non-Destructive Detection of Bone Fragments Embedded in Meat Using Hyperspectral Reflectance Imaging Technique
por: Lim, Jongguk, et al.
Publicado: (2020) -
Detecting Bacterial Biofilms Using Fluorescence Hyperspectral Imaging and Various Discriminant Analyses
por: Lee, Ahyeong, et al.
Publicado: (2021) -
Non-Destructive Quality Evaluation of Pepper (Capsicum annuum L.) Seeds Using LED-Induced Hyperspectral Reflectance Imaging
por: Mo, Changyeun, et al.
Publicado: (2014) -
Detection of Lettuce Discoloration Using Hyperspectral Reflectance Imaging
por: Mo, Changyeun, et al.
Publicado: (2015) -
Design and Fabrication of a Real-Time Measurement System for the Capsaicinoid Content of Korean Red Pepper (Capsicum annuum L.) Powder by Visible and Near-Infrared Spectroscopy
por: Lim, Jongguk, et al.
Publicado: (2015)