Häftad, Engelska, 2027
Next Generation Food Safety
AI-Driven Mycotoxin Detection, Risk Analytics and Quality Assurance in Ready-to-Eat Foods
Av C. Kishor Kumar Reddy, Hemant Kumar Saini, Inam Ullah Khan, S. P. Muthukumar
2081 kr
Kommande
Beskrivning
Next Generation Food Safety: AI-Driven Mycotoxin Detection, Risk Analytics, and Quality Assurance in Ready-to-Eat Foods empowers stakeholders to develop innovative, cost-effective solutions that enhance safety, ensure compliance, and support sustainable food systems, meeting the evolving demands of modern food safety management.
- Explains advanced AI techniques for detecting contaminants in ready-to-eat foods
- Provides practical strategies for validating and deploying AI-based food safety systems
- Highlights real-world applications like hyperspectral imaging and supply chain risk management
- Addresses regulatory, ethical, and cybersecurity challenges in implementing AI for food safety
- Supports industry adoption of cost-effective, reliable, and sustainable food quality assurance solutions
Produktinformation
- Utgivningsdatum: 2027-02-01
- Mått: 152 x 229 x undefined mm
- Format: Häftad
- Språk: Engelska
- Antal sidor: 400
- Förlag: Elsevier Science
- ISBN: 9780443492884
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Mer om författaren
Dr. C. Kishor Kumar Reddy is a seasoned academician and researcher with over 12 years of experience in computer science and engineering. He holds a Ph.D. in Computer Science and Engineering and a Postdoctoral Fellowship from the University Kebangsaan Malaysia, Malaysia. Dr. Reddy has made significant contributions in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Federated Learning, Cybersecurity, Healthcare 6.0, and Disaster Management. He has authored and co-authored 170+ research articles in reputed SCI/Scopus-indexed journals, presented at international conferences. He also holds several published patents and serves as an editor for multiple scholarly books on emerging technologies. Dr. Reddy is an active member of professional bodies such as the Indian Society for Technical Education, the Computer Society of India, and the International Association of Engineers, among others.Hemant Kumar Saini is an academic at the School of Computer Science & Engineering, Bennett University (The Times Group), Greater Noida, India, and at Lincoln University, Malaysia. His research interests include digital transformation technologies such as artificial intelligence (AI), quantum computing, the Internet of Things (IoT), blockchain, aerial vehicles, ad-hoc networks, digital twins, and edge and serverless computing, including cloud-native computing. Dr. Inam Ullah Khan is a Senior Researcher, Azerbaijan University of Architecture and Construction, Baku, Azerbaijan and Postdoctoral Research Fellow at Multimedia University, Malaysia , specializing in Artificial Intelligence, UAV networks, Machine Learning, and Intrusion Detection Systems. He is the founder of AI-Explain Your Science (AI-EYS) and a Senior Member of IEEE. Dr. Khan holds a Ph.D. and M.S. in Electronics Engineering, along with a Bachelor's degree in Computer Science and serves as a Professor at Lincoln University College. With over 150 publications and approximately 50+ edited books, he has made significant contributions to his fields. He actively participates in technical committees for international conferences and has delivered lectures worldwide. Additionally, Dr. Khan serves as a mentor at Impact Xcelerator in Spain. His research focuses on integrating AI with cybersecurity and wireless communication, advancing knowledge at the intersection of these critical areas. Prof. (Dr.) S. P. Muthukumar is basically a veterinarian, BVSc from Tamil Nadu, MVSc from Kerala and PhD from Indian Veterinary Research Institute (IVRI), Izatnagar, Bareilly UP. His specialization is Biochemistry, Nutrition, Genetics and Breeding. He has more than 90 research papers in peer reviewed SCI-indexed journals, 60 invited lectures and presented more than 100 papers in national and international conferences.
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