{"title":"Industry 4.0 digital transformation: Shaping the future of food quality","authors":"Bhawna Bisht , Kanishka Rawat , Anushka Vohat , Neha Jangid , Narpinder Singh , Katsuyoshi Nishinari , Mikhail S. Vlaskin , Anna Kurbatova , Vinod Kumar","doi":"10.1016/j.foodcont.2024.111030","DOIUrl":null,"url":null,"abstract":"<div><div>The agri-food sector represents a boundless source for sustaining a growing global population, with food quality emerging as a paramount concern. However, the evolving landscape presents several challenges, necessitating a compelling need to harness the potential of recent advancements in computer-aided systems. Fortunately, advances in computer-aided digital transformation have ushered in the era of Industry 4.0, representing a dramatic leap forward. Within this framework, Quality 4.0 has emerged as a pivotal component, leveraging intelligent and innovative technologies to enhance quality monitoring systems. This review emphasizes within the broader context of digital transformation that defines today's food industry, facilitating the utilization of artificial intelligence (AI), big data analytics, food printing techniques, digital twins, smart sensors, and blockchain technology to revolutionize quality management in different food sector.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"170 ","pages":"Article 111030"},"PeriodicalIF":5.6000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Control","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0956713524007473","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The agri-food sector represents a boundless source for sustaining a growing global population, with food quality emerging as a paramount concern. However, the evolving landscape presents several challenges, necessitating a compelling need to harness the potential of recent advancements in computer-aided systems. Fortunately, advances in computer-aided digital transformation have ushered in the era of Industry 4.0, representing a dramatic leap forward. Within this framework, Quality 4.0 has emerged as a pivotal component, leveraging intelligent and innovative technologies to enhance quality monitoring systems. This review emphasizes within the broader context of digital transformation that defines today's food industry, facilitating the utilization of artificial intelligence (AI), big data analytics, food printing techniques, digital twins, smart sensors, and blockchain technology to revolutionize quality management in different food sector.
期刊介绍:
Food Control is an international journal that provides essential information for those involved in food safety and process control.
Food Control covers the below areas that relate to food process control or to food safety of human foods:
• Microbial food safety and antimicrobial systems
• Mycotoxins
• Hazard analysis, HACCP and food safety objectives
• Risk assessment, including microbial and chemical hazards
• Quality assurance
• Good manufacturing practices
• Food process systems design and control
• Food Packaging technology and materials in contact with foods
• Rapid methods of analysis and detection, including sensor technology
• Codes of practice, legislation and international harmonization
• Consumer issues
• Education, training and research needs.
The scope of Food Control is comprehensive and includes original research papers, authoritative reviews, short communications, comment articles that report on new developments in food control, and position papers.