Automation for Food Engineering

Food Quality Quantization and Process Control

By Yanbo Huang, A. Dale Whittaker, Ronald E. Lacey

Series Editor: Fergus M. Clydesdale

© 2001 – CRC Press

240 pages | 100 B/W Illus.

Purchasing Options:
Hardback: 9780849322303
pub: 2001-06-28

About the Book

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 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.

Table of Contents


Food Quality: A Primary Concern of Food Industry

Automated Evaluation of Food Quality

Food Quality Quantization and Process Control

Typical Problems in Food Quality Evaluation and Process Control

How to Learn the Technologies

Data Acquisition


Concepts and Systems for Data Acquisition

Image Acquisition

Data Analysis

Data Pre-Processing

Data Analysis

Image Processing


Modeling Strategy

Linear Statistical Modeling

ANN Modeling


Prediction and Classification

One-Step-Ahead Prediction

Multiple-Step-Ahead Prediction


Process Control

Internal Model Control

Predictive Control

Systems Integration

Food Quality Quantization Systems Integration

Food Quality Process Control Systems Integration

Food Quality Quantization and Process Control Systems Development

Concluding Remarks

About the Series

Contemporary Food Science

Learn more…

Subject Categories

BISAC Subject Codes/Headings: