Automation for Food Engineering Food Quality Quantization and Process control

Automation for Food Engineering Food Quality Quantization and Process control

Book Description

Automation for Food Engineering 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.

Pages 224
Filesize 3.3 MB

Automation for Food Engineering Contents 

  • Introduction
  • 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
  • Sampling
  • Concepts and Systems for Data Acquisition
  • Image Acquisition
  • Data Analysis
  • Data Pre-Processing
  • Data Analysis
  • Image Processing
  • Modeling
  • Modeling Strategy
  • Linear Statistical Modeling
  • ANN Modeling
  • Prediction
  • Prediction and Classification
  • One-Step-Ahead Prediction
  • Multiple-Step-Ahead Prediction
  • Control
  • 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
  • Index

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