Asad Nawaz , Atka Afzal , Ali Khatibi , Amar Shankar , Heena Madan , Hafiza Sana Faisal , Amna Shahbaz , Ifrah Usman , Nimra Zulfiqar , Farhan Saeed , Aftab Ahmed , Ali Imran , Muhammad Afzaal , Awais karni , Faiyaz Ahmed , Noor Akram , Musarrat Rasheed , Fakhar Islam
{"title":"人工智能在清真认证和可追溯性中的作用:同期综述","authors":"Asad Nawaz , Atka Afzal , Ali Khatibi , Amar Shankar , Heena Madan , Hafiza Sana Faisal , Amna Shahbaz , Ifrah Usman , Nimra Zulfiqar , Farhan Saeed , Aftab Ahmed , Ali Imran , Muhammad Afzaal , Awais karni , Faiyaz Ahmed , Noor Akram , Musarrat Rasheed , Fakhar Islam","doi":"10.1016/j.foodcont.2024.111003","DOIUrl":null,"url":null,"abstract":"<div><div>The convergence of artificial intelligence (AI) and the halal food industry represents a significant and transformative intersection, driven by the need to ensure the authenticity, safety, and compliance of halal food products in an increasingly complex global market. This review paper examines the applications, implications, and impact of AI technologies within the halal food sector. AI technologies, including machine learning, computer vision, natural language processing, and blockchain, are explored in the context of their contributions to addressing key challenges and opportunities. These technologies play a vital role in enhancing quality control, supply chain transparency, and consumer trust, and they offer solutions for the certification and monitoring of halal compliance. It further delves into examining how AI contributes to ensuring halal compliance, enhancing quality control, improving supply chain transparency, and fortifying consumer trust.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"169 ","pages":"Article 111003"},"PeriodicalIF":5.6000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Role of artificial intelligence in halal authentication and traceability: A concurrent review\",\"authors\":\"Asad Nawaz , Atka Afzal , Ali Khatibi , Amar Shankar , Heena Madan , Hafiza Sana Faisal , Amna Shahbaz , Ifrah Usman , Nimra Zulfiqar , Farhan Saeed , Aftab Ahmed , Ali Imran , Muhammad Afzaal , Awais karni , Faiyaz Ahmed , Noor Akram , Musarrat Rasheed , Fakhar Islam\",\"doi\":\"10.1016/j.foodcont.2024.111003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The convergence of artificial intelligence (AI) and the halal food industry represents a significant and transformative intersection, driven by the need to ensure the authenticity, safety, and compliance of halal food products in an increasingly complex global market. This review paper examines the applications, implications, and impact of AI technologies within the halal food sector. AI technologies, including machine learning, computer vision, natural language processing, and blockchain, are explored in the context of their contributions to addressing key challenges and opportunities. These technologies play a vital role in enhancing quality control, supply chain transparency, and consumer trust, and they offer solutions for the certification and monitoring of halal compliance. It further delves into examining how AI contributes to ensuring halal compliance, enhancing quality control, improving supply chain transparency, and fortifying consumer trust.</div></div>\",\"PeriodicalId\":319,\"journal\":{\"name\":\"Food Control\",\"volume\":\"169 \",\"pages\":\"Article 111003\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2024-11-04\",\"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/S0956713524007205\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Control","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0956713524007205","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}
Role of artificial intelligence in halal authentication and traceability: A concurrent review
The convergence of artificial intelligence (AI) and the halal food industry represents a significant and transformative intersection, driven by the need to ensure the authenticity, safety, and compliance of halal food products in an increasingly complex global market. This review paper examines the applications, implications, and impact of AI technologies within the halal food sector. AI technologies, including machine learning, computer vision, natural language processing, and blockchain, are explored in the context of their contributions to addressing key challenges and opportunities. These technologies play a vital role in enhancing quality control, supply chain transparency, and consumer trust, and they offer solutions for the certification and monitoring of halal compliance. It further delves into examining how AI contributes to ensuring halal compliance, enhancing quality control, improving supply chain transparency, and fortifying consumer trust.
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.