Automation for Food Engineering introduces the frameworks, methods, designs, algorithms, tests, and implementation of data acquisition, analysis, modeling, prediction, and control in automation for food engineering. Using numerous examples and case studies from food engineering projects, the book introduces basic methods systematically and describes 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 employ data from food engineering applications to explain the methods.
