
Sensor-Based Quality Assessment Systems for Fruits and Vegetables
- 304 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Sensor-Based Quality Assessment Systems for Fruits and Vegetables
About this book
Here is an abundance of valuable information on different sensing techniques for fruits and vegetables. The volume covers emerging technologies, such as NMR, MRI, wireless sensor networks (WSN), and radio-frequency identification (RFID) and their potential for industrial applications.
Key features of the volume:
• Provides an inclusive review of the developments of sensors for quality analysis and inspection of fresh fruits and vegetables
• Fosters an understanding of the basic sensing techniques for quality assessment of fresh fruits and vegetables
• Covers advanced sensing technologies, including computer vision, spectroscopy, X-rays, magnetic resonance, mechanical contact, wireless sensor networks, and radio-frequency identification sensors
• Reviews the significant progress in sensor development of noninvasive techniques for quality assessment of fruits and vegetables
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Books in the Postharvest Biology and Technology Series
- About the Editors
- Table of Contents
- Contributors
- Abbreviations
- Preface
- 1. Real-Time Quality Assessment of Fruits and Vegetables: Sensing Approaches
- 2. Sensors for Ripeness Measurement of Fruits and Vegetables
- 3. Sensors for Sorting and Grading of Fruits and Vegetables
- 4. Fluorescence Tools for Sensing of Quality-Related Phytochemicals in Fruits and Vegetables
- 5. Electrochemical Sensors for Quality Determination of Fruits and Vegetables
- 6. Electronic Nose (e-Nose) Application in the Food Industry
- 7. IR Spectroscopy for Quality of Fruits and Vegetables
- 8. Nuclear Magnetic Resonance (NMR) Spectroscopy for Quality Determination of Fruits and Vegetables
- 9. X-Ray Imaging for Quality Detection in Fruits and Vegetables
- 10. Radio Frequency Identification (RFID)
- 11. Application of Computer Vision System in Fruit Quality Monitoring
- Index
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