Sensing and Artificial Intelligence Solutions for Food Manufacturing

Daniel Hefft, Charles Oluwaseun Adetunji (Edo University, Iyamho, Nigeria)

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English

CRC Press
31 March 2023

Biosensors; Food & beverage technology; Machine learning

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.

This book is a practical introduction and handbook for students, food engineers, technologists and process engineers on the benefits and challenges around modern manufacturing systems following Industry 4.0 approaches.

Edited by: Daniel Hefft, Charles Oluwaseun Adetunji (Edo University, Iyamho, Nigeria)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 420g
ISBN: 9781032075808
ISBN 10: 1032075805
Pages: 174
Publication Date: 31 March 2023
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

0. front matter. 1. Overview of Sensors and Sensing Techniques in Food Processing. 2. Sensing and Artificial Intelligence for Food Packaging. 3. Optical Methods - Advanced Image Recognition and Feature Extraction Solutions for Food Manufacturing. 4. Artificial Intelligent and Automation for Precision Pest Management. 5. Role of Biosensor in Inspection of Food and Agricultural Products: Current Advances. 6. Packaging of Animal-Based Food Products -The Need for Intelligent Freshness Sensors. 7. Application of Gas/Biosensors for Effective Determination of Contaminants in the Environment and Food Products as Well as Their Role Detection of Toxic Pesticides. 8. Artificial Intelligence in Food Fraud and Traceability. 9. Relevance of Biosensor in the Detection of Contaminants and Pollutants in Food, Agricultural And Environmental Sector. 10. Artificial Intelligence and Its Role in Food Industry. 11. Recent Advances in the Characterization and Application Graphene in Food Industry. 12. Artificial Intelligence in Food Packaging Industry.

Daniel Hefft, Charles Oluwaseun Adetunji