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from C.H.I.P.S.
Food Quality Quantization and Process Control by Yanbo Huang
Automation for Food Engineering: Food Quality Quantization and Process
Control explores the usage of advanced methods, such as wavelet analysis and
artificial neural networks, to automated food quality evaluation and process control.
It introduces novel system prototypes, such as machine vision, elastography,
and the electronic nose, for food quality measurement, analysis, and prediction.
The book discusses advanced techniques, such as medical imaging, mathematical analysis,
and statistical modeling, which have proven successful in food engineering.
The authors use the characteristics of food processes to describe concepts, and they
employ data from food engineering applications to explain the methods. To aid in the
comprehension of technical information, they provide real-world examples and case
studies from food engineering projects.
The material covers the frameworks, techniques, designs, algorithms, tests and
implementation in data acquisition, analysis, modeling, prediction, and control
in automation for food engineering. It demonstrates the techniques for automation of
food engineering, and helps you in the development of techniques for your own
applications.
Automation for Food Engineering: Food Quality Quantization and Process Control
is the first and only book that gives a systematical study and summary about concepts,
principles, methods, and practices in food quality quantization and process control.
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