The Use of Different Image Recognition Techniques in Food Safety: A Study

作     者：Khan, Rijwan Kumar, Santosh Dhingra, Niharika Bhati, Neha 

作者机构：Department of Computer Science and Engineering Abes Institute of Technology Affiliated to Aktu Lucknow U.P Ghaziabad20109 India Department of Mathematics College of Natural and Applied Sciences University of Dar Es Salaam Dar Es Salaam Tanzania United Republic of 

出 版 物：《Journal of Food Quality》 (J. Food Qual.)

年 卷 期：2021年第2021卷第1期

核心收录：

学科分类：08[工学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 0710[理学-生物学] 1007[医学-药学(可授医学、理学学位)] 0832[工学-食品科学与工程（可授工学、农学学位）] 100706[医学-药理学] 070207[理学-光学] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 081203[工学-计算机应用技术] 0835[工学-软件工程] 0803[工学-光学工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0702[理学-物理学] 

主　　题：Food safety 

摘      要：Food safety refers to preparing, transporting, and storing food to avoid foodborne sickness and harm. From farm to factory and factory to fork, food items may meet various health dangers. Therefore, food safety is crucial both monetarily and morally. The implications of failing to comply with food safety requirements are varied. The requirement for accurate, quick, and nonpartisan quality assessments of these features in food products continues to rise with increased demands for dietary materials and high-quality requirements. Computer vision provides an automatic, nondestructive, and economic approach to achieving these aims. A substantial research has demonstrated its effectiveness for fruit and vegetable assessment and classification. It stresses the critical components of image processing technology and a survey of the most current advances across the food sector. This article outlines the essential parts of a computer vision system. In order to avoid foodborne disease and ensure food security, fast and effective detection of pathogenic microorganisms is crucial for public safety biomonitoring. Over the years, microorganism detection techniques have evolved. © 2021 Rijwan Khan et al.