eBook - ePub
Artificial Intelligence in Food Science
Transforming Food and Bioprocess Development
- 772 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Artificial Intelligence in Food Science
Transforming Food and Bioprocess Development
About this book
Artificial Intelligence in Food Science: Transforming Food and Bioprocess Development covers the AI and machine learning techniques that are reshaping the food science landscape, introducing innovative solutions to improve food processing, safety, and sustainability. This book delves into the transformative potential of these cutting-edge technologies, exploring how they optimize food production, enhance bioprocess development, and tailor products to meet specific consumer needs. By integrating AI, researchers and industry professionals can address challenges such as resource efficiency and quality assurance, paving the way for a more sustainable and technologically advanced food system.Beyond optimization, the book examines AI applications in predicting food trends, analyzing complex datasets, and developing personalized nutrition plans. It provides insights into how AI enhances food storage, packaging design, and even consumer engagement through predictive models. With detailed case studies and forward-thinking perspectives, this book serves as a comprehensive guide for harnessing AI's power to revolutionize food science and bioprocess innovations.
- Explores how AI and machine learning intersect with food for enhanced nutritional outcomes
- Discusses incorporating robotics, automation and IoT into AI and ML driven food processes
- Highlights the use of AI and ML for flavor profiling and sensory analysis
- Leverages AI and ML for food waste analytics
- Addresses the challenges and benefits of AI and ML in the food industry
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Information
Topic
MédecineTable of contents
- Title of Book
- Chapter 1. Introduction to AI and ML in food science and bioprocess development
- Chapter 2. The basis, progress, and future of food and bioprocess with artificial intelligence (AI) and machine learning (ML) techniques
- Section I. Learning approaches and applications
- Section II. Ingredient discovery, recipe, and new product development
- Section III. AI in nutrition
- Section IV. Quality control, food safety, and processing
- Section V. Food waste
- Section VI. Ethics, compliance, and future trends
- Index
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Yes, you can access Artificial Intelligence in Food Science by Tanmay Sarkar,Anandakumar Haldorai in PDF and/or ePUB format, as well as other popular books in Médecine & Nutrition, diététique et bariatrie. We have over 1.5 million books available in our catalogue for you to explore.