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

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

Sarkar, Tanmay (EDT)/ Pandey, Jay Kumar (EDT)

ウェブストア価格 ¥47,702（本体¥43,366）
CRC Press（2026/08発売）
外貨定価 US$ 220.00
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ポイント 2,165pt

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製本 Hardcover:ハードカバー版／ページ数 336 p.
言語 ENG
商品コード 9781041170600

Full Description

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 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

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.