"This book gives readers a practical introduction into machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories. This book starts by giving the reader an overview of the historic structures of food manufacturing standards and how they defined today's manufacturing. It is followed by a topical introduction for professionals in the food industries in topics such as AI, machine learning, and neural networks. It also includes an explanation of the different sensor systems and their basic principles. It shows how these sensing and computing systems are suitable for process implementation in food factories and what types of sensing systems have already been proven to deliver benefit to the food manufacturing industries. The authors also discuss issues around food safety, labelling and traceability and how sensing and AI can help to resolve issues. They also use case studies and specific examples that can show the benefit of such technologies compared to current approaches"--
Author(s): Daniel Hefft; Charles Oluwaseun Adetunji
Publisher: CRC Press
Year: 2023
Language: English
Pages: 184
City: Boca Raton
Cover
Half Title
Title Page
Copyright Page
Table of Contents
The Editors
List of Contributors
1 Overview of Sensors and Sensing Techniques in Food Processing
1.1 Introduction
1.2 Sensors in Food Industry
1.2.1 Proximity Sensors
1.2.2 Temperature Sensors
1.2.3 Humidity Sensors
1.2.4 Biosensors
1.2.5 Pressure Sensor
1.2.6 Electronic Noses
1.2.7 Electronic Tongue
1.3 Sensors for Process Improvement
1.4 The Future Role of Software in Sensors
1.5 Food Safety and Quality Analysis Using Smartphone Sensing
1.6 Future Perspective
1.7 Conclusion
References
2 Sensing and Artificial Intelligence for Food Packaging
2.1 Introduction
2.2 Advances in Foodborne Pathogens
2.3 Environment and Food Safety
2.4 Food Packaging Materials
2.5 Detection of Food Pathogens Using Biosensing Technologies
2.6 Bio-Based Sensor for Food Packaging
2.7 Artificial Neural Network-Based Predictive Models for Bacteria Growth and Food Packaging
2.8 Conclusion and Future Perspectives
References
3 Optical Methods: Advanced Image Recognition and Feature Extraction Solutions for Food Manufacturing
3.1 Introduction
3.2 Advanced Image Recognition and Feature Extraction Solutions for Food Manufacturing
3.3 Conclusion
References
4 Artificial Intelligence and Automation for Precision Pest Management
4.1 Introduction
4.2 Processes Involved in the Identification of Pests and Diseases and Implementation of the Integrated Pest Management
4.3 Utilization of Smart Digital Devices in the Prediction of the Plant Health Status and the Environment
4.4 Innovative Sensors, Satellites, Drones and Robots That Can Help in the Capturing of the Picture of Plant Having Diseases and Pests
4.5 Conclusion
References
5 The Role of Biosensors in Inspection of Food and Agricultural Products: Current Advances
5.1 Introduction
5.2 General Overview About the Application of Toxic Gas Sensors and Biosensors and Their Application in Food Inspection
5.3 E-Nose Technology
5.4 Biosensors Utilized for Enhancement of Food Safety Through the Detection of Microorganisms
5.4.1 Salmonella Spp.
5.4.2 Escherichia Coli
5.4.3 Listeria Monocytogenes
5.4.4 Campylobacter Spp.
5.5 Conclusion
References
6 Packaging of Animal-Based Food Products: The Need for Intelligent Freshness Sensors
6.1 Introduction
6.2 Active Packaging Systems in Animal-Based Food Packaging
6.3 Oxygen Scavengers as an Intelligent Sensor in Maintaining Animal-Based Food Packaging Integrity
6.4 Carbon Dioxide Scavengers and Emitters as an Intelligent Sensor in Maintaining Animal-Based Food Packaging Integrity
6.5 Benefits of Active Packaging to Preserved Foods
6.6 Package Information and Marketing
6.7 Physical Protection and Barrier Protection
6.8 Prevention of Containment
6.9 Security
6.10 Convenience and Dispensing Control
6.11 Factors to Consider in Developing Economically Viable Packaging System Moisture and Environmental Control
6.12 Metal Chelation
6.13 Security
6.14 QR Codes
6.15 Advances in Food Packaging
6.16 Regulations
6.17 Conclusion
References
7 Application of Gas/Biosensors for Effective Determination of Contaminants in the Environment and...
7.1 Introduction
7.2 Relevance of Toxic Gas Sensors and Biosensors in the Detection of Toxic Pesticides
7.3 Application Chemical Sensor for the Detection of Contaminants Present in Food
7.4 Conclusion and Future Recommendation to Study
References
8 Artificial Intelligence in Food Fraud and Traceability
8.1 Introduction
8.2 Food Fraud and Traceability
8.2.1 Repackaging
8.3 Food Traceability
8.4 Importance of Food Traceability
8.5 Application of Artificial Intelligence in Food Traceability
8.6 Application of AI in Food Fraud; Implications of Food Fraud
8.7 Health Implication
8.8 Economic Implication
8.9 Social Implications
8.10 Religious Implications
References
9 Relevance of Biosensor in the Detection of Contaminants and Pollutants in Food, Agricultural, and Environmental Sector
9.1 Introduction
9.2 Classification of Biosensors
9.3 Environmental Applications of Biosensors
9.3.1 Detection of Biocides
9.4 Quantification of Polychlorinated Biphenyls (PCBs)
9.4.1 Detection of Dioxins
9.5 Surfactants
9.6 Antibiotics
9.7 Biosensors With Other Methods of Separation
9.8 Studies On Biosensors for Environmental Application
9.9 Conclusion and Future Trends
References
10 Artificial Intelligence and Its Role in the Food Industry
10.1 Introduction to Artificial Intelligence (AI)
10.2 Types of Artificial Intelligence
10.3 Components of Artificial Intelligence
10.3.1 Learning
10.3.2 Reasoning
10.3.3 Problem Solving
10.3.4 Perception
10.3.5 Language Understanding
10.4 Big Data in AI and Its Role in the Food Industry
10.5 Conclusion
References
11 Recent Advances in the Characterization and Application of Graphene in the Food Industry
11.1 Introduction
11.2 Synthesis and Production of Graphene
11.3 Exfoliation
11.4 Electrochemical Exfoliation
11.5 Mechanical Exfoliation
11.6 Liquid Phase Exfoliation
11.7 Pyrolysis
11.8 Reduction of Graphene Oxide
11.9 Sonication
11.10 Chemical Vapour Deposition
11.11 Graphene From Natural Sources: Synthesis, Characterization and Applications
11.12 Conclusion
References
12 Artificial Intelligence in the Food Packaging Industry
12.1 Introduction
12.2 History of AI in Food Packaging
12.2.1 Application of AI in Food Packaging
12.2.2 AI Systems Applied in Food Packaging
References
Index
