Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence provides different spectroscopic techniques and their application to food quality analysis, with the unique approach of adding multivariate analysis as well as artificial intelligence applications. It also brings chromatographic methods for the analysis of a wide range of food items including wheat flours, oils and fats. Written by a team of interdisciplinary experts, this is a valuable resource for researchers and personnel involved in food industries.　　- Covers food quality analysis experience combined with spectroscopic techniques, artificial intelligence and machine learning- Presents the applications of analytical techniques to speed up the resolution of food safety issues, prevent food fraud and traceability purposes- Explores different spectroscopic techniques and their application to food quality analysis

Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence provides different spectroscopic techniques and their application to food quality analysis, with the unique approach of adding multivariate analysis as well as artificial intelligence applications. It also brings chromatographic methods for the analysis of a wide range of food items including wheat flours, oils and fats. Written by a team of interdisciplinary experts, this is a valuable resource for researchers and personnel involved in food industries.　　- Covers food quality analysis experience combined with spectroscopic techniques, artificial intelligence and machine learning- Presents the applications of analytical techniques to speed up the resolution of food safety issues, prevent food fraud and traceability purposes- Explores different spectroscopic techniques and their application to food quality analysis

Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence provides different spectroscopic techniques and their application to food quality analysis, with the unique approach of adding multivariate analysis as well as artificial intelligence applications. It also brings chromatographic methods for the analysis of a wide range of food items including wheat flours, oils and fats. Written by a team of interdisciplinary experts, this is a valuable resource for researchers and personnel involved in food industries.　　- Covers food quality analysis experience combined with spectroscopic techniques, artificial intelligence and machine learning- Presents the applications of analytical techniques to speed up the resolution of food safety issues, prevent food fraud and traceability purposes- Explores different spectroscopic techniques and their application to food quality analysis