Buch, Englisch, 330 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 790 g
Buch, Englisch, 330 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 790 g
ISBN: 978-1-041-17060-0
Verlag: Taylor & Francis Ltd
This book offers a comprehensive and interdisciplinary approach by integrating AI with food, nutrition, agriculture, and biotechnology. It covers both foundational concepts and practical applications, making it valuable for academics and professionals. It simplifies advanced technologies into straightforward explanations and practical examples, illustrating how AI technologies such as sensors, intelligent apps, and computer programs can assist farmers in cultivating more crops with less input, assist individuals in eating more nutritious food according to their individual health requirements, and assist researchers in creating improved seeds and environmentally-friendly farming methods.
Key Features:
- Describes how AI technologies such as machine learning, computer vision, and IoT are used in practical farming and food systems
- Presents case studies and success stories highlighting AI-based solutions in agriculture, food safety, nutrition planning, and biotechnology research
- Discusses advanced topics such as precision farming, personalized nutrition, AI in genomics, and smart supply chains in a lucid, reader-friendly style
- Examines the social, economic, and environmental advantages of using AI in sustainable agriculture, food security, and biotechnological innovation
Zielgruppe
Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
About the Editors. List of Contributors. Preface. Acknowledgments. List of Abbreviations. Chapter 1 Introduction to AI in Food, Nutrition, Agriculture, and Biotechnology. Chapter 2 Basics of Artificial Intelligence and Machine Learning. Chapter 3 Data Sources and Sensors in Agriculture and Food Systems. Chapter 4 Precision Agriculture: Artificial Intelligence for Crop and Soil Management. Chapter 5 Sources and Fates of Waste in Food Processing and Packaging and Their Sustainable Management Through Artificial Intelligence. Chapter 6 AI for Food Quality, Safety, and Traceability. Chapter 7 AI in Food Processing and Packaging. Chapter 8 Personalized Nutrition and Diet Planning. Chapter 9 Artificial Intelligence in Public Health and Food Security. Chapter 10 Biotechnology and Genomics: AI Applications. Chapter 11 Artificial Intelligence for Advancing Public Health Nutrition and Food Security: Data-Driven Approaches and Sustainable Solutions. Chapter 12 Robotics and Automation in Agriculture and Food Industries. Chapter 13 Environmental Impact and Sustainability of AI in Agriculture. Chapter 14 When Algorithms Meet Agriculture: Ethical, Social, and Economic Considerations of AI in Food Systems. Chapter 15 Future Trends, Challenges, and Opportunities. Index.




