Automation For Food Engineering: Food Quality Quantization And Process Control (contemporary Food Science)
by Yanbo Huang /
2001 / English / PDF
3.3 MB Download
In the past ten years electronics and computer technologies have
significantly pushed forward the progress of automation in the food
industry. The application of these technologies to automation for
food engineering will produce more nutritious, better quality, and
safer items for consumers. 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.
In the past ten years electronics and computer technologies have
significantly pushed forward the progress of automation in the food
industry. The application of these technologies to automation for
food engineering will produce more nutritious, better quality, and
safer items for consumers. 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 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 of 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.
The material covers the frameworks, techniques, designs,
algorithms, tests and implementation of 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.