Identification of different varieties of sesame oil using near-infrared hyperspectral imaging and chemometrics algorithms.
This study investigated the feasibility of using near infrared hyperspectral imaging (NIR-HSI) technique for non-destructive identification of sesame oil. Hyperspectral images of four varieties of sesame oil were obtained in the spectral region of 874-1734 nm. Reflectance values were extracted from...
Main Authors: | Chuanqi Xie, Qiaonan Wang, Yong He |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4039481?pdf=render |
Similar Items
-
Variety Identification of Raisins Using Near-Infrared Hyperspectral Imaging
by: Lei Feng, et al.
Published: (2018-11-01) -
Prediction of essential oil content in spearmint (Mentha spicata) via near-infrared hyperspectral imaging and chemometrics
by: Sam Van Haute, et al.
Published: (2023-03-01) -
Variety Identification of Chinese Walnuts Using Hyperspectral Imaging Combined with Chemometrics
by: Hongzhe Jiang, et al.
Published: (2021-09-01) -
Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds
by: Xiaolei Zhang, et al.
Published: (2012-12-01) -
Rapid Classification of Wheat Grain Varieties Using Hyperspectral Imaging and Chemometrics
by: Yidan Bao, et al.
Published: (2019-10-01)