Artificial Intelligence Application in Food, Nutrition, Agriculture, and Biotechnology

Nyhet

Inbunden, Engelska, 2026

3 169 kr

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The 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 environmental-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

Produktinformation

Utgivningsdatum2026-07-13
Mått178 x 254 x undefined mm
FormatInbunden
SpråkEngelska
Antal sidor336
FörlagTaylor & Francis Ltd
ISBN9781041170600

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Dr. Tanmay Sarkar is currently working as a Lecturer in the Government of West Bengal. He has received his Bachelor of Technology, Master of Technology, and PhD in Engineering from Jadavpur University, Kolkata, India. 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 12 books with Elsevier, Springer, and Wiley. Dr. Sarkar has been classified among the top 2% of global highly-cited researchers published by Stanford University, USA . Dr. Jay Kumar Pandey is currently working as an Assistant Professor in the Department of Electrical & Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D. 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 Artificial Intelligence, Biomedical & Healthcare, Image Processing, Machine Learning and Renewable energy. He has 15 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 & Francis, Springer and IGI Publisher. Dr. Pandey is an editor of books (edited) published by reputed publishers Apple Academy Press, IGI, Elsevier, Wiley-IEEE, NOVA, Bentham Science, IAP, Emerald Publication, Taylor & Francis & Cambridge Scholar. 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).

Introduction to AI in Food, Nutrition, Agriculture, and Biotechnology. Basics of Artificial Intelligence and Machine Learning. Data Sources and Sensors in Agriculture and Food Systems. Precision Agriculture: AI for Crop and Soil Management. Smart Irrigation and Resource Optimization. AI for Food Quality, Safety, and Traceability. AI in Food Processing and Packaging. Personalized Nutrition and Diet Planning. AI in Public Health Nutrition and Food Security. Biotechnology and Genomics: AI Applications. Synthetic Biology and AI-driven Innovation. Robotics and Automation in Agriculture and Food Industries. Environmental Impact and Sustainability of AI in Agriculture. Ethical, Social, and Economic Considerations. Future Trends, Challenges, and Opportunities.