book

Food Engineering Automation with Robotics and AI

Name: Food Engineering Automation with Robotics and AI
Author: Abir Chakravorty
ISBN: 9781394316564

by Abir Chakravorty

September 2025

Intermediate to advanced

496 pages

15h 3m

English

Wiley

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Cover
Table of Contents
Title Page
Copyright
Dedication
About the Book
Preface
Acknowledgments
About the Author
Acronyms

Introduction
Chapter 1: Robotics and Automation in Food Processing, Developments Prompted by the Present Era Industrial Revolution
1.1 Abridgement of the Existing Obstacles and Opportunities Presented by the Present Era Industrial Revolution in the Food Processing Sector1.2 Adoption of Technology in Food Processing and Key Industry Technologies1.3 Definition of Robot and Its Various Classification1.4 Use of Robotics in Food Processing1.5 Use of Smart Sensors in Food Processing1.6 Applications of AI in Food Processing1.7 Homogeneous Transformation Matrices1.8 Denavit–Hartenberg Parameters1.9 Degrees of Freedom1.10 Applications of IoT in Food Processing1.11 Prediction Models in Measuring Color and Food Quality1.12 AI/ ML Prediction Modeling in Food Processing and Food Safety1.13 AI/ ML Prediction Modeling in Food Processing and Food Safety1.14 Case Studies1.15 Review QuestionsBibliography
Chapter 2: Automation in Food Processing Applications
2.1 Automatic Control of Food Chilling and Freezing2.2 Introduction: Main Forces Behind and Obstacles to Automated Food Freezing and Chilling Control2.3 Challenges to Automation in Food Chilling and Freezing Include2.4 Automation in Refrigerated Food Retail Display2.5 Automation of Refrigeration and Freezing Operations in Food Catering2.6 Automation in Refrigerated Food Transport Systems2.7 Automation in Food Chilling and Freezing Systems2.8 Automation in Food Cold Storage Systems2.9 Advances in Research and Future Trends2.10 Case Study2.11 Review QuestionsBibliography
Chapter 3: Robot Types and Their Classification
3.1 Categories of Robots3.2 Design of IoT-based Pick-and-place Robot3.3 Direct Kinematics3.4 Inverse Kinematics3.5 Inverse Kinematics of a Three-degrees-of-freedom Spatial Manipulator with a Unique Geometry3.6 Splines in Robotics3.7 Automation and Its Types3.8 Basic Image Processing Techniques3.9 Robot Kinematics3.10 AI/ML Basics for Food Processing3.11 Mapping, Navigation, and Obstacle Avoidance3.12 Fuzzy Logic Control Case Study in Food Processing3.13 Dijkstra’s Algorithm for a Grid Map3.14 Path Planning with the A* Algorithm3.15 Path Following and Obstacle Avoidance3.16 Fuzzy Logic Control3.17 Robotic Motion and Odometry3.18 Gripper: Its Various Types and Applications3.19 Robotics and Automation for Packaging and Handling3.20 Review QuestionsBibliography
Chapter 4: AI/ML and Robotics Applications in Food Safety, Quality, and Challenges
4.1 Food Safety and Quality Detection Using Robotics and AI/ML4.2 Automation of Fruit and Vegetable Sorting, Grading4.3 Prediction Models in Measuring Color and Food Quality4.4 Data Management and Its Importance4.5 Ethics and Safety4.6 Adoption of Automation in Food Process Engineering4.7 Automation, Economic Return, Food Manufacturing Sector, Increased Safety Assurance, and Quality of Products4.8 AI, Robotics, and Automation for UN Sustainable Development Goals4.9 AI in Food Supply Chain, Tracing/ Warehouse/ Distribution4.10 Data Analysis, Discrete and Continuous Data on Classification and Regression4.11 Case Studies4.12 Review QuestionsBibliography
Chapter 5: Application of Robotics in Processing Meat, Fish, and Poultry
5.1 Introduction5.2 Application of Robotics in Processing Meat, Fish, and Poultry5.3 Robotic Manipulator in Food Processing5.4 End Effectors in Food Industry5.5 Robotic and Vision Systems in Use for Fish Processing5.6 Review QuestionsBibliography
Chapter 6: Principles of Fuzzy PID and Its Algorithm
6.1 Fresh Food Atmosphere Packaging Gas Distribution System Utilizing Fuzzy PID Control6.2 A Fuzzy-PID Controller for Temperature Control in a Shell and Tube Heat Exchanger Simulation6.3 An Introduction to Automated Process Control in the Food Sector Using Supervisory Control and Data Acquisition and Associated Systems6.4 Introduction to SCADA6.5 SCADA and Its History6.6 SCADA Standards and Applications6.7 SCADA in Food Processing6.8 Laboratory Study: Implementation of SCADA6.9 Future Trends in SCADA6.10 Review QuestionsBibliography
Chapter 7: Robots, Ladder Elements, Logic Gates, 3D Food Printing, SCADA, Automation Pyramid in Food Processing
7.1 3D Printing Technology: The New Era for Food Customization and Elaboration7.2 Environmentally Friendly and Sustainable Technology7.3 Autonomous Mobile Robots7.4 Review QuestionsBibliography
Chapter 8: PID Control Techniques in Food Processing
8.1 Process Control Methods in the Food Industry8.2 Industrial PID Control8.3 Variations of PID Controller Algorithms8.4 Three-term Control, or Proportional, Integral, or Derivative Control8.5 Parallel PID Controllers in Food Processing8.6 Review QuestionsBibliography
Chapter 9: Online Spectroscopy Techniques to Access Food Quality and Safety, SCADA and HMI Examples
9.1 AI/ML Techniques for Food Safety Case Studies9.2 Sensors for Automated Food Process Control9.3 Review QuestionsBibliography
Chapter 10: Case Studies
10.1 Modeling Simulation and Practical Application of Robotics in Food Manufacturing Different Simulation Scenario10.2 Robotic Cooking10.3 Robotic Arm Control and Task Training Through Deep Reinforcement Learning10.4 Sensors for Automated Food Process Control10.5 Indirect Teaching of the Robot Hand10.6 Tuning Humanoid Walking Parameters for Food Service Robots for Better Performance10.7 Sensorized Compliant Robot Gripper for Estimating the Cooking Time of Boil-cooked Vegetables10.8 Multiple Object Detection and Segmentation for Automated Removal in Additive Manufacturing with Service Robots10.9 Miscellaneous Case Studies10.10 Review QuestionsBibliography
Appendix: List of Suppliers for Sensors and Automation Equipment
Index
End User License Agreement

Content preview from Food Engineering Automation with Robotics and AI

Chapter 5Application of Robotics in Processing Meat, Fish, and Poultry

After reading this chapter, you should be able to:

Robotics and Computer Vision: Integration of fish processing to improve efficiency is being done by robotics together with computer vision. Sophisticated algorithms for quality checking while avoiding human errors will be accomplished by sorting and inspection of fishes.
Robotic Manipulators with End-effector: Robotic manipulators, along with the specifically developed end-effector, improve speed in the process of handling and cutting meat, poultry, and fish, whereas they also encourage packaging within them. Thus, all the processes aid to accomplish efficiency and standard quality.
Predictive Maintenance and Smart Technologies: Predictive maintenance is integrated with artificial intelligence (AI) and Internet of Things (IoT) to optimize food processing operations and improve the reliability of equipment. Case studies reflect significant improvements in efficiency of production and streamlined processes.

5.1 Introduction

An effector is any robot or robotic device that has an effect on the environment.

There are two fundamental categories of effectors based on their effects on the environment:

Locomotion: This occurs when the effector itself causes motion in the environment. This category of effector is called mobile robot.
Manipulation: This occurs when the effector causes motion in objects around it.

A mobile manipulator is a combination of a ...

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Food Engineering Automation with Robotics and AI

by Abir Chakravorty

Chapter 5Application of Robotics in Processing Meat, Fish, and Poultry

5.1 Introduction

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