Artificial Intelligence in Food Science

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