Recent Progress of Hyperspectral Imaging on Quality and Safety Inspection of Fruits and Vegetables: A Review-Reference-Cited by-同舟云学术

Recent Progress of Hyperspectral Imaging on Quality and Safety Inspection of Fruits and Vegetables: A Review

Published:2015-01-20 Issue:2 Volume:14 Page:176-188
ISSN:1541-4337
Container-title:Comprehensive Reviews in Food Science and Food Safety
language:en
Short-container-title:COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY

Author:

Pu Yuan-Yuan¹,Feng Yao-Ze¹,Sun Da-Wen¹

Affiliation:

1. Food Refrigeration and Computerized Food Technology (FRCRT), School of Biosystems Engineering, Univ. College Dublin, Natl. Univ. of Ireland; Agriculture and Food Science Centre; Belfield Dublin 4 Ireland

Publisher

Wiley

Subject

Food Science

Reference120 articles.

1. Hyperspectral waveband selection for internal defect detection of pickling cucumbers and whole pickles;Ariana;Comput Electron Agric,2010

2. Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers;Ariana;Comput Electron Agric,2006

3. Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes;Baiano;Comput Electron Agric,2012

4. Detection of early bruises in apples using hyperspectral data and thermal imaging;Baranowski;J Food Eng,2012

Cited by 158 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing starch content prediction in kudzu: Integrating hyperspectral imaging and deep learning with WGAN-GP;Food Control;2024-12

2. Hyperspectral imaging system for pre- and post-harvest defect detection in paprika fruit;Postharvest Biology and Technology;2024-12

3. Separating Surface Reflectance from Volume Reflectance in Medical Hyperspectral Imaging;Diagnostics;2024-08-20

4. Visualizing the structural and chemical heterogeneity of fruit and vegetables using advanced imaging techniques: fundamentals, instrumental aspects, applications and future perspectives;Critical Reviews in Food Science and Nutrition;2024-07-30

5. Efficient Adaptive Incremental Learning for Fruit and Vegetable Classification;Agronomy;2024-06-12