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Produktbild: Next Generation Food Safety
Vorbesteller Neu

Next Generation Food Safety Ai-Driven Mycotoxin Detection, Risk Analytics and Quality Assurance in Ready-To-Eat Foods

233,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Portrait

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 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.

With over 100 publications and approximately 25 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.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.02.2027

Herausgeber

C. Kishor Kumar Reddy + weitere

Verlag

Elsevier

Seitenzahl

400

Maße (L/B)

22,9/15,2 cm

Sprache

Englisch

ISBN

978-0-443-49288-4

Portrait

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.02.2027

Herausgeber

Verlag

Elsevier

Seitenzahl

400

Maße (L/B)

22,9/15,2 cm

Sprache

Englisch

ISBN

978-0-443-49288-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Next Generation Food Safety
  • Part I - Foundations and Emerging Paradigms
    1. Introduction to Artificial Intelligence for Food Safety and Quality Assurance
    2. Machine Learning and Deep Learning based Mycotoxin Detection
    3. Computer Vision and Image-Based Mycotoxin Detection
    4. Data Quality, Sampling Techniques, and Big Data / IoT in Food Quality Monitoring
    5. AI Model Validation, Protocols, TRLs, and Interpretability Frameworks
    6. Limitations/ Challenges of detection and quantification, instrumental methods, and the number of sampling.

    Part II - AI Across Ready-to-Eat Food Categories
    7. Cereal and Grain-Based Foods (Bread, Snacks, Infant Food) Contamination
    8. Spectroscopic Detection in Dairy and Milk-Based Ready Foods
    9. AI-driven biosensor in Meat and Poultry Convenience Foods
    10. Deep learning based quality checking in Plant-Based Ready Meals and Alternatives
    11. AI-spectroscopy in Snack Foods and Bakery Products
    12. Identifying AI patterns in Fermented Foods and Quality Assurance

    Part III - Risk, Regulation, and Supply Chains
    13. Supply Chain Risk Assessment for Ready-to-Eat Foods
    14. Mapping AI-driven detection to Regulatory Compliance and Standards
    15. Economic Feasibility and Operational Deployment of AI Safety Systems
    16. Cybersecurity and Data Integrity in AI-Driven Food Systems
    17. Ethics, Transparency, and Responsible AI in Food Safety

    Part IV - Case Studies and Future Directions
    18. Case Studies: Global Perspectives on AI in Mycotoxin Detection
    19. Eco-Friendly Smart Packaging and Embedded AI Sensing Technologies
    20. Future Trends and Research Directions, next decade Ready-to-use Eatables