Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
Author:
Publisher
Elsevier BV
Subject
Agricultural and Biological Sciences (miscellaneous),Agronomy and Crop Science,Food Science
Reference187 articles.
1. Economically motivated adulteration (EMA) of food: common characteristics of EMA incidents;Everstine;J. Food Protect.,2013
2. What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed ? – Spectroscopy case study;Mcgrath;Trends Food Sci. Technol.,2018
3. Consumers' confidence, reflections and response strategies following the horsemeat incident;Barnett;Food Control,2016
4. Food fraud: an exploratory study for measuring consumer perception towards mislabeled food products and influence on self-authentication intentions;Charlebois;Trends Food Sci. Technol.,2016
5. Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications;Ryan;J. Inf. Commun. Ethics Soc.,2020
Cited by 20 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. Transformative impact: Artificial intelligence in the evolving landscape of processed food - A concise review focusing on some food processing sectors;Food Control;2025-01
2. Artificial intelligence-based smart agricultural systems for saffron cultivation with integration of Unmanned Aerial Vehicle imagery and deep learning approaches;Computers and Electrical Engineering;2024-10
3. Thermography and deep learning for detection of ground beef adulteration;Microchemical Journal;2024-10
4. Achieving sustainability in heat drying processing: Leveraging artificial intelligence to maintain food quality and minimize carbon footprint;Comprehensive Reviews in Food Science and Food Safety;2024-08-13
5. Artificial Intelligence in Agricultural Mapping: A Review;Agriculture;2024-07-03
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