Artificial Intelligence in Food Science: Transforming Food and Bioprocess Development

Tanmay Sarkar · Anandakumar Haldorai

Jan 2026 · Academic Press

Ebook

625

Pages

Eligible

This book will become available on January 1, 2026. You will not be charged until it is released.

About this ebook

"Artificial Intelligence in Food Science Transforming Food and Bioprocess Development, looks at the advancements in both AI and Machine Learning (ML) and the potential for leveraging these latest technologies to optimize and elevate various aspects of the food sciences. From ingredient discovery and recipe formulation to flavor profiling, quality control and bioprocess optimization, "Artificial Intelligence in Food Science Transforming Food and Bioprocess Development, will show nutritionists, food scientists and researchers and developers how they can enhance efficiency while innovating in their field. Through data analysis, predictive modelling, case studies and industry examples of successful AI and ML implementation, this book also highlights the benefits, challenges, and potential limitations of using AI and ML techniques, while providing insights into best practices. Readers will discover how AI and ML intersect with nutrition, traceability and blockchain technology, food waste valorization, shelf-life, recipe and new product development, food safety, and more.• Explores how AI and ML 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 challenges and benefits of AI and ML in the food industry

About the author

Tanmay Sarkar received his bachelor’s degree in Chemistry from Calcutta University, Kolkata, India, Bachelor of Technology and Master of Technology both in Food Technology and Biochemical Engineering from Jadavpur University, Kolkata, India. He has a PhD in Engineering from Jadavpur University, Kolkata, India. With seven years of experience in teaching as well as in research, he is currently working as a lecturer. His areas of interests include bioactive components from natural sources, optimization, mathematical modelling, phytochemicals, and data science.

Dr. Haldorai received his masters in software engineering from PSG College of Technology, Coimbatore and PhD in Information and Communication Engineering from PSG College of Technology, Anna University, Chennai. His research areas include big data, cognitive radio networks, mobile communications and networking protocols. He has authored more than 156 research papers in reputed International Journals and IEEE conferences. He has authored 12 books and many book chapters. He is the guest editor of many prestigious journals and the Editor in Chief of Elsevier’s International Journal of Intelligent Network.

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