Edible electronics for smart technology solutions /
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2025.
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| Series: | Advances in computational intelligence and robotics (ACIR) book series.
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| Subjects: |
Table of Contents:
- Preface
- Chapter 1. Edible Electronics for Smart Technology Solutions: Edible Electronics for Food Packaging
- Chapter 2. Edible Electronics for Food Quality Monitoring
- Chapter 3. Enhancing Food Quality Monitoring Processes Through Innovative Microcontroller-Based Systems
- Chapter 4. Smart Food Quality Monitoring by Integrating IoT and Deep Learning for Enhanced Safety and Freshness
- Chapter 5. Edible Energy Harvesting: Powering the Future of Smart Food Technology
- Chapter 6. Edible Electronics for Smart Detection of Food Spoilage
- Chapter 7. Advancements in Edible Electronics and Robotics for Smart Food Packaging Processes
- Chapter 8. From Ingestible to Edible: Quantifying and Analyzing Edible Electronics' Role in Environment Monitoring and Future Advancement
- Chapter 9. Edible Electronics' Role in Healthcare: Application, Challenges, and Future Research
- Chapter 10. Integrating Internet of Things (IoT) With Edible Electronics
- Chapter 11. Recurrent Neural Network Technology in Smart Hydroponics Control Systems
- Chapter 12. The Internet of Things, Automation in the Future, and Security Protocols for the Smart Grid Framework
- Chapter 13. Smart Grid Environment, Data Security in the Internet of Things, and Supply Chain Ecosystem Transformation
- Chapter 14. Mobile Cloud Computing and the Internet of Things Security and Privacy
- Chapter 15. AI-Controlled Robotics in Smart Agricultural Systems: Enhancing Precision, Sustainability, and Productivity
- Chapter 16. AI-Driven Disaster Forecasting by Integrating Smart Technology
- Chapter 17. Deep Learning for Predictive Analytics in Environmental and Social Sciences
- Chapter 18. Machine Vision System: An Emerging Technique for Quality Estimation of Tea
- Compilation of References
- About the Contributors
- Index.