AI and Food Systems: Transforming Production, Safety, Sustainability and Consumer Experience
Editat de Diana Boguevaen Limba Engleză Paperback – mar 2027
- Consolidates the latest research, offering a comprehensive reference that bridges technological advancements with real-world applications
- Provides case studies and industry best practices to help them navigate practical AI applications, ethical concerns, and cost-benefit analyses
- Offers critical discussions on legislation, policy frameworks, and governance models, guiding informed decision-making
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Specificații
ISBN-13: 9780443442858
ISBN-10: 0443442851
Pagini: 430
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0443442851
Pagini: 430
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Cuprins
Part 1. Foundations of AI in global food systems
1. Understanding AI in the context of global food systems
2. Trends, challenges and innovations in AI research for the agri-food sector Prof. Zuzana
3. Advancements in food safety research and training via AI
4. Stakeholder perspectives on AI integration in Food Systems
Part 2. AI applications in food processing and safety
5. AI in food processing control - opportunities and limitations
6. Enhancing food safety and traceability through AI technologies
7. AI-driven food quality monitoring and fraud detection
Part 3. Innovations in Food Science and Packaging
8. AI in food science, technology, and processing innovations
9. AI-driven innovations in food packaging
10. Advancing food systems with AI auto-sensors and data-driven solutions
Part 4. AI in Nutrition, Health, and Consumer Engagement
11. The role of AI in sensory science and technology
12. Application of AI in nutrition and Personalized Dietetics
13. AI in personalized nutrition, nutraceuticals, and functional foods
14. AI in food reformulation for healthier products
Part 5. AI in Agriculture, Sustainability, and circular bioeconomy
15. AI in agronomy, agricultural innovation and supply chains
16. Environmental impact of AI in food systems
17. AI for sustainable global food systems
18. AI Applications for Small-Scale and Developing World Agriculture
19. AI in food waste management and circular bioeconomy
Part 6. Consumer perception, and market trends
20. Generational differences in perception of AI in food systems
21. AI-driven consumer engagement and decision-making
22. AI for sensory science, consumer behavior, and food trend prediction
Part 7. Legislation, ethics and policy framework
23. Current legislation and future policy directions for AI in Food Systems
24. AI and religious food law
25. Data privacy, liability, and accountability in AI-driven food systems
Part 8. Controversies and open questions
26. Ethical considerations and bias in AI-driven food systems –
27. AI and food security – opportunities and challenges
28. Building public trust in AI technologies within food systems
Part 9. The future of AI in food systems
29. Sustainable AI solutions and future research directions
30. Envisioning AI's role in future food scenarios (2030–2050)
1. Understanding AI in the context of global food systems
2. Trends, challenges and innovations in AI research for the agri-food sector Prof. Zuzana
3. Advancements in food safety research and training via AI
4. Stakeholder perspectives on AI integration in Food Systems
Part 2. AI applications in food processing and safety
5. AI in food processing control - opportunities and limitations
6. Enhancing food safety and traceability through AI technologies
7. AI-driven food quality monitoring and fraud detection
Part 3. Innovations in Food Science and Packaging
8. AI in food science, technology, and processing innovations
9. AI-driven innovations in food packaging
10. Advancing food systems with AI auto-sensors and data-driven solutions
Part 4. AI in Nutrition, Health, and Consumer Engagement
11. The role of AI in sensory science and technology
12. Application of AI in nutrition and Personalized Dietetics
13. AI in personalized nutrition, nutraceuticals, and functional foods
14. AI in food reformulation for healthier products
Part 5. AI in Agriculture, Sustainability, and circular bioeconomy
15. AI in agronomy, agricultural innovation and supply chains
16. Environmental impact of AI in food systems
17. AI for sustainable global food systems
18. AI Applications for Small-Scale and Developing World Agriculture
19. AI in food waste management and circular bioeconomy
Part 6. Consumer perception, and market trends
20. Generational differences in perception of AI in food systems
21. AI-driven consumer engagement and decision-making
22. AI for sensory science, consumer behavior, and food trend prediction
Part 7. Legislation, ethics and policy framework
23. Current legislation and future policy directions for AI in Food Systems
24. AI and religious food law
25. Data privacy, liability, and accountability in AI-driven food systems
Part 8. Controversies and open questions
26. Ethical considerations and bias in AI-driven food systems –
27. AI and food security – opportunities and challenges
28. Building public trust in AI technologies within food systems
Part 9. The future of AI in food systems
29. Sustainable AI solutions and future research directions
30. Envisioning AI's role in future food scenarios (2030–2050)