Geographical traceability of soybean: An electronic nose coupled with an effective deep learning method
Author:
Funder
Natural Science Foundation of Jilin Province
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Medicine,Food Science,Analytical Chemistry
Reference35 articles.
1. Fx-Net and PureNet: Convolutional Neural Network architecture for discrimination of Chronic Obstructive Pulmonary Disease from smokers and healthy subjects through electronic nose signals;Avian;Computers in Biology and Medicine,2022
2. Discriminating organic and conventional foods by analysis of their microbial ecology: An application on fruits;Bigot;Food Control,2015
3. Prediction of pulmonary diseases with electronic nose using SVM and XGBoost;Binson;IEEE Sensors Journal,2021
4. Headspace with gas chromatography-mass spectrometry for the use of volatile organic compound profile in botanical origin authentication of honey;Castell;Molecules,2023
5. Mass spectrometry-based electronic nose to authenticate 100% Italian durum wheat pasta and characterization of volatile compounds;Cervellieri;Food Chemistry,2022
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. Geographical origin authentication of agricultural products in the China–EU Geographical Indications Agreement: A comprehensive review of Chinese products;Trends in Food Science & Technology;2024-10
2. Overcoming the Limits of Cross-Sensitivity: Pattern Recognition Methods for Chemiresistive Gas Sensor Array;Nano-Micro Letters;2024-08-14
3. Peanut origin traceability: A hybrid neural network combining an electronic nose system and a hyperspectral system;Food Chemistry;2024-07
4. RLCSA-Net: a new deep learning method combined with an electronic nose to identify the quality of tea;Journal of Food Measurement and Characterization;2024-07
5. Integrating Criss-Cross Attention Mechanism for Origin Traceability of Peanuts Using Electronic Nose Technology;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07
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