Kuswandi, Bambang editor Siddiqui, Mohammed Wasim editor text flu 2021 1a edición monographic eng xx, 303 páginas : ilustraciones, gráficas, diagramas, tablas, fotos 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 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 Vegetable 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 specialized editores Bambang Kuswandi y Mohammed Wasim Siddiqui Incluye las bibliografías Frutos Calidad Vegetales Calidad Fruits Quality Vegetables Quality SB360.6 .S46 2021 664.8 S46 2021 978-1-77463-886-6 mxchpua 240122 20240122175347.0