Research on nondestructive identification of grape varieties based on EEMD‐DWT and hyperspectral image
Author:
Affiliation:
1. School of Electrical and Information Engineering of Jiangsu University Zhenjiang China
2. School of Electronic Engineering, Changzhou College of Information Technology Changzhou Jiangsu China
Funder
Priority Academic Program Development of Jiangsu Higher Education Institutions
Publisher
Wiley
Subject
Food Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1750-3841.15715
Reference41 articles.
1. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
2. Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes
3. Vis-NIR hyperspectral imaging for the classification of bacterial foodborne pathogens based on pixel-wise analysis and a novel CARS-PSO-SVM model
4. Soluble solids content and pH prediction and varieties discrimination of grapes based on visible–near infrared spectroscopy
5. Nondestructive determination of the total mold colony count in green tea by hyperspectral imaging technology
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