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Book Cover
E-book
Author Hefft, Daniel

Title Sensing and Artificial Intelligence Solutions for Food Manufacturing
Published Milton : Taylor & Francis Group, 2023

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Description 1 online resource (185 p.)
Contents 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
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
Summary This book gives readers a practical introduction to 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
Notes Description based upon print version of record
Bibliography 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
Notes 6.11 Factors to Consider in Developing Economically Viable Packaging System Moisture and Environmental Control
Subject Food processing plants -- Automation
Food industry and trade -- Data processing
Food science -- Data processing
Food industry and trade -- Data processing.
Food processing plants -- Automation.
Form Electronic book
Author Adetunji, Charles Oluwaseun
ISBN 9781000844498
1000844498