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AI and Food Systems: Transforming Production, Safety, Sustainability and Consumer Experience

Editat de Diana Bogueva
en Limba Engleză Paperback – mar 2027
AI in Food Systems: Transforming Production, Safety, Sustainability and Consumer Experience explores the transformative role of Artificial Intelligence (AI) in all aspects of food systems, analyzing its impact on food production, safety, quality, sustainability, and consumer behavior. It examines how AI-driven technologies such as machine learning, deep learning, and predictive analytics are revolutionizing agriculture, food processing, personalized nutrition, and supply chain management. As AI-driven innovations rapidly reshape the food industry, there is an urgent need for a resource that critically examines both opportunities and challenges, including ethical concerns, regulatory frameworks, and public perception. Rather than taking a topic-specific approach into aspects of AI in agriculture or food technology, this book takes a holistic approach, integrating insights from multiple disciplines to address the broader implications of AI on global food security, sustainability, and nutrition. By bridging gaps in current knowledge, AI and Food Systems: Transforming Production, Safety, Sustainability and Consumer Experience serves as a vital reference for academics, industry professionals, policymakers, and consumers, ensuring that AI’s role in food systems is both well-understood and responsibly harnessed for a more efficient, transparent, and equitable food future.

  • 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

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)