Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

Published:2021 Issue: Volume:4 Page:28-44
ISSN:2665-9271
Container-title:Current Research in Food Science
language:en
Short-container-title:Current Research in Food Science

Author:

Saha Dhritiman^ORCID,Manickavasagan Annamalai

Funder

Natural Sciences and Engineering Research Council of Canada

Indian Council of Agricultural Research

Publisher

Elsevier BV

Subject

Applied Microbiology and Biotechnology,Food Science,Biotechnology

Reference104 articles.

1. Principles and recent advances in electronic nose for quality inspection of agricultural and food products;Ali;Trends Food Sci. Technol.,2020

2. Agitation and mixing processes automation using current sensing and reinforcement learning;Aljaafreh;J. Food Eng.,2017

3. Agricultural robots for field operations: concepts and components;Bechar;Biosyst. Eng.,2016

4. Supervised classification of bruised apples with respect to the time after bruising on the basis of hyperspectral imaging data;Baranowski;Postharvest Biol. Technol.,2013

5. Vis-NIR hyperspectral imaging for the classification of bacterial foodborne pathogens based on pixel-wise analysis and a novel CARS-PSO-SVM model;Bonah;Infrared Phys. Technol.,2020

Cited by 226 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. Smartphone video imaging: A versatile, low-cost technology for food authentication;Food Chemistry;2025-01

2. Evaluation of Eureka lemon quality during cold storage integrating hyperspectral imaging, 1H NMR and quality parameters in a multi-block data analysis perspective;Food Control;2024-12

3. Combining Vis-NIR and NIR hyperspectral imaging techniques with a data fusion strategy for prediction of norfloxacin residues in mutton;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-12

4. Towards the establishment of a green and sustainable analytical methodology for hyperspectral imaging-based authentication of wholemeal bread;Food Control;2024-12

5. Deep learning techniques for the exploration of hyperspectral imagery potentials in food and agricultural products;Food and Humanity;2024-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3