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Artificial Intelligence Interventions in Agriculture, Food and Health Sectors provides an integrated connection among agriculture, food, nutrition, and health sectors, compiling the history and evolution of AI, the scope of AI in the agricultural and food sectors, AI applications in the food processing and supply chain, and the role of AI in the food safety and healthcare industry. Edited by a multidisciplinary team, this book is a unique resource covering the innovative concepts of AI in the agriculture and food sectors, while providing useful insights to students, scientists, progressive farmers, food processing, and healthcare industries about the scope of AI applications.

Users will find this to be a single platform for progressive farmers, food processing researchers, and healthcare professionals who are interested in learning about the potential of AI across a broad range of sectors. The book emphasizes the significance of stakeholder collaboration across disciplines to properly utilize the strengths of AI and handle its limitations.

  • Brings innovation and recent trends of AI in precise nutrition and disease management
  • Explores crop improvement, enhanced productivity, and postharvest management using AI
  • Presents AI interventions in Food processing, distribution, and traceability

1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Contributors - p. ix 8. Chapter 1 History, fundamentals, and evolution of artificial intelligence - p. 1 9. Chapter 2 Interventions of artificial intelligence (AI) in preharvest operations - p. 23 10. Chapter 3 AI in precision pest management and agricultural inputs - p. 65 11. Chapter 4 AI interventions in reducing environmental impacts of agriculture - p. 91 12. Chapter 5 Artificial intelligence and postharvest management of fresh produce - p. 117 13. Chapter 6 Role of AI in food processing operations - p. 149 14. Chapter 7 Role of artificial intelligence in food preservation operations - p. 167 15. Chapter 8 Role of AI in advanced application of emerging food technologies - p. 197 16. Chapter 9 Scope and application of artificial intelligence in food supply chain management - p. 219 17. Chapter 10 AI interventions in sensory evaluation of food - p. 251 18. Chapter 11 Scope of artificial intelligence in 3D printing of food products - p. 273 19. Chapter 12 Ensuring food safety through AI - p. 295 20. Chapter 13 AI and precision nutrition - p. 345 21. Chapter 14 Utilization of AI in diet–disease relationships - p. 385 22. Chapter 15 Role of AI chatbots in nutrition and dietary guidance - p. 417 23. Chapter 16 Advancements in artificial intelligence for healthcare improvement - p. 449 24. Chapter 17 Legal and ethical concerns of AI - p. 465 25. Chapter 18 Challenges, risks, and future prospects of AI - p. 487 26. Index - p. 519

Descripcion
Descripción

Artificial Intelligence Interventions in Agriculture, Food and Health Sectors provides an integrated connection among agriculture, food, nutrition, and health sectors, compiling the history and evolution of AI, the scope of AI in the agricultural and food sectors, AI applications in the food processing and supply chain, and the role of AI in the food safety and healthcare industry. Edited by a multidisciplinary team, this book is a unique resource covering the innovative concepts of AI in the agriculture and food sectors, while providing useful insights to students, scientists, progressive farmers, food processing, and healthcare industries about the scope of AI applications.

Users will find this to be a single platform for progressive farmers, food processing researchers, and healthcare professionals who are interested in learning about the potential of AI across a broad range of sectors. The book emphasizes the significance of stakeholder collaboration across disciplines to properly utilize the strengths of AI and handle its limitations.

  • Brings innovation and recent trends of AI in precise nutrition and disease management
  • Explores crop improvement, enhanced productivity, and postharvest management using AI
  • Presents AI interventions in Food processing, distribution, and traceability

1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Contributors - p. ix 8. Chapter 1 History, fundamentals, and evolution of artificial intelligence - p. 1 9. Chapter 2 Interventions of artificial intelligence (AI) in preharvest operations - p. 23 10. Chapter 3 AI in precision pest management and agricultural inputs - p. 65 11. Chapter 4 AI interventions in reducing environmental impacts of agriculture - p. 91 12. Chapter 5 Artificial intelligence and postharvest management of fresh produce - p. 117 13. Chapter 6 Role of AI in food processing operations - p. 149 14. Chapter 7 Role of artificial intelligence in food preservation operations - p. 167 15. Chapter 8 Role of AI in advanced application of emerging food technologies - p. 197 16. Chapter 9 Scope and application of artificial intelligence in food supply chain management - p. 219 17. Chapter 10 AI interventions in sensory evaluation of food - p. 251 18. Chapter 11 Scope of artificial intelligence in 3D printing of food products - p. 273 19. Chapter 12 Ensuring food safety through AI - p. 295 20. Chapter 13 AI and precision nutrition - p. 345 21. Chapter 14 Utilization of AI in diet–disease relationships - p. 385 22. Chapter 15 Role of AI chatbots in nutrition and dietary guidance - p. 417 23. Chapter 16 Advancements in artificial intelligence for healthcare improvement - p. 449 24. Chapter 17 Legal and ethical concerns of AI - p. 465 25. Chapter 18 Challenges, risks, and future prospects of AI - p. 487 26. Index - p. 519

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