The Computable Food System

An Encyclopedia of Ai, Data Science, and Food Process Engineering
Erscheinungsjahr 2027
ISBN: 978-0-443-54025-7
Verlag: Elsevier Science

Buch, Englisch, 285 Seiten, Format (B × H): 191 mm x 235 mm

The Computable Food System: An Encyclopedia of AI, Data Science, and Food Process Engineering addresses the growing convergence of artificial intelligence, data science, and food engineering in response to major global challenges, including climate change, food security, and the need for sustainable food production. The book serves as a comprehensive and up-to-date reference that links computational intelligence with the global food ecosystem, supporting researchers, educators, students, and industry professionals seeking to develop smarter, more resilient food systems. It covers the fundamental principles of AI and data science, digital food system governance, machine learning architectures, simulation techniques, and computational methods relevant to food processing and engineering. The encyclopedia examines applications across the entire food value chain, including precision agriculture, post-harvest management, food manufacturing automation, supply chain optimization, quality assurance, novel food development, and personalized nutrition. In addition, it explores important ethical, legal, and sustainability considerations while highlighting emerging trends such as quantum computing and cognitive systems in food processing. Through its interdisciplinary approach, practical case studies, and forward-looking perspectives, the book enables users to design efficient, safe, and sustainable food production strategies. By fostering innovation in food technology and computational modeling, it serves as an essential resource for advancing intelligent food systems and supporting informed decision-making in academia, industry, and policymaking.

Autoren/Hrsg.

Sarkar, Tanmay

Pandey, Jay Kumar

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Lebensmitteltechnologie und Getränketechnologie

Inhaltsverzeichnis

1. AI and Data Science: Core Principles for Food Systems
2. The Digital Food System: Data Acquisition, Quality, and Governance
3. Machine Learning and Deep Learning Architectures in Food Engineering
4. Mathematical Modeling, Simulation, and Digital Twins of Food Processes
5. AI for food security and resilience in global food supply chains
6. Intelligent Post-Harvest Handling and Storage Systems
7. AI-Driven Optimization of Classic Food Unit Operations (Heat/Mass Transfer)
8. Robotics, Automation, and Vision Systems in Food Manufacturing
9. AI for Supply Chain Management, Logistics, and Demand Forecasting
10. The Computable Kitchen: AI in Food Service and Retail
11. Sensors, Spectroscopy, and the AI-Assisted Real-Time Quality Control
12. Ethical, legal, and societal implications of AI in food processing and AI adoption challenges
13. Data Science in Foodomics: Nutrition, Metabolomics, and Compositional Analysis
14. Predictive Food Safety: AI for Pathogen, Contaminant, and Allergen Detection
15. Shelf-Life Prediction and Packaging Innovation via AI
16. AI in Novel Food Production: Plant-Based, Cultivated Meat, and Cellular Agriculture
17. Personalized and Precision Nutrition: AI-Driven Dietary Interventions
18. Additive Manufacturing (3D/4D Food Printing) Controlled by AI
19. AI for Sustainability, Resource Efficiency, and Food Waste Valorization
20. Algorithmic Transparency, Ethical AI, and Socio-Economic Impact
21. Ethics, transparency, and policy, addressing concerns in Food Processing (algorithmic fairness and the socio-economic impacts of increasingly AI-driven food systems)
22. The Quantum and Cognitive Food System: Future Trends and Research Roadmaps

Über Autor(innen)

Sarkar, Tanmay
Dr. Tanmay Sarkar is currently working as a Lecturer in the Government of West Bengal. With 9 years of experience in both teaching and research, his areas of interest include bioactive components from natural sources, ethnic foods, mathematical modeling, and phytochemicals. He is an editor for several SCI, SCIE, and Scopus- indexed journals and has edited numerous books with Elsevier and Springer.

Pandey, Jay Kumar
Dr. Jay Kumar Pandey is currently working as an Assistant Professor in the Department of Electrical and Electronics Engineering at Shri Ramswaroop Memorial University, Barabank, India. Dr. Pandey has completed his Ph.D. in 2022 in renewable energy and has done his M.Tech. With specialization in Power Control (Instrumentation) and also done his MBA from Finance and Marketing. His subjects of interest are related to Biomedical & Healthcare, Image Processing, Digital Electronics, Machine Learning and Solar. He has 13 years of teaching and research experience has published more than 30 research papers in National and International journals /conferences & Book Chapters in CRC, NOVA, Taylor & Fransis, Springer and IGI Publisher. Dr. Pandey is an editor of books (edited) published by reputed publishers AAP & IGI.Dr. Pandey is also Editor of Journal of Technology Innovations and Energy United States. Dr. Pandey having reviewer in different conference/Journal/Book Chapters like (The Journal of Supercomputing in Springer Nature, IGI publishing, Journal of Security and Communication Networks Hindawi, Journal of Biomimetics, Biomaterials and Biomedical Engineering (JBBBE) Scientific Net, Switzerland, Advanced Engineering Forum (AEF) Scientific Net, Switzerland)