Detection of adulteration in mutton using digital images in time domain combined with deep learning algorithm
Author:
Funder
Shihezi University
Publisher
Elsevier BV
Subject
Food Science
Reference32 articles.
1. Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat;Al-Sarayreh;Food Control,2020
2. Black tea withering moisture detection method based on convolution neural network confidence;An;Journal of Food Process Engineering,2020
3. Automated method for determination of cheese Meltability by computer vision;Badaro;Food Analytical Methods.,2021
4. Differential scanning calorimetry coupled with machine learning technique: An effective approach to determine the milk authenticity;Farah;Food Control,2021
5. Quantification and identification of adulteration in the fat content of chicken hamburgers using digital images and chemometric tools;Fernandes;Lwt-Food Science and Technology,2019
Cited by 7 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. Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts;Journal of Food Science and Technology;2023-11-10
2. Synergetic application of thermal imaging and CCD imaging techniques to detect mutton adulteration based on data-level fusion and deep residual network;Meat Science;2023-10
3. Discrimination of lamb (Ovis aries), emu (Dromaius novaehollandiae), camel (Camelus dromedarius) and beef (Bos taurus) binary mixtures using a portable near infrared instrument combined with chemometrics;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2023-06
4. Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review;Journal of Agriculture and Food Research;2023-06
5. Artificial Intelligence Aided Adulteration Detection and Quantification for Red Chilli Powder;Food Analytical Methods;2023-01-27
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