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.

Daniel Hefft, Charles Oluwaseun Adetunji

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.