AI Applications in Food Processing and Packaging (eBook, ePUB)
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Artificial intelligence (AI) is a branch of computer science which uses data to create models. These models learn from data and are used to make predictions. AI tools are being developed to deal with the complexity and variety of data in the food industry. This edited volume highlights the ways in which AI can be applied to optimization and automation in quality control, processing and packaging of food products. It covers a wide range of food products including oils and fats, milk, fish and fishery products.Filling the gap between literature covering conventional food processing and packaging...
Artificial intelligence (AI) is a branch of computer science which uses data to create models. These models learn from data and are used to make predictions. AI tools are being developed to deal with the complexity and variety of data in the food industry. This edited volume highlights the ways in which AI can be applied to optimization and automation in quality control, processing and packaging of food products. It covers a wide range of food products including oils and fats, milk, fish and fishery products.
Filling the gap between literature covering conventional food processing and packaging and current research on AI linked to these areas, initial chapters highlight AI applications including the internet of things (IoT) and big data applications in the food industry. Then coverage details the intelligent integration of many technologies for different applications in the food industry for example non-destructive food quality assessment using digital images assisted by chemometrics, simulations to detect the existence of foreign objects in milk packaging using ultrasonic tomography and AI assisted 3D food printing. New advanced sensing technologies, including electronic noses and tongues, are discussed in detail emphasizing their role in ensuring food product quality and safety.
Filling the gap between literature covering conventional food processing and packaging and current research on AI linked to these areas, initial chapters highlight AI applications including the internet of things (IoT) and big data applications in the food industry. Then coverage details the intelligent integration of many technologies for different applications in the food industry for example non-destructive food quality assessment using digital images assisted by chemometrics, simulations to detect the existence of foreign objects in milk packaging using ultrasonic tomography and AI assisted 3D food printing. New advanced sensing technologies, including electronic noses and tongues, are discussed in detail emphasizing their role in ensuring food product quality and safety.
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