Sensor-based quality assessment systems for fruits and vegetables / editores Bambang Kuswandi y Mohammed Wasim Siddiqui

Contributor(s):

Material type:

TextSeries: Postharvest Biology and Technology (AAP)Florida, U.S.A : Apple Academic Press, 2021Edition: 1a ediciónDescription: xx, 303 páginas : ilustraciones, gráficas, diagramas, tablas, fotosContent type:

texto

Media type:

sin medio

Carrier type:

volumen

ISBN:

978-1-77463-886-6

Subject(s):

DDC classification:

664.8 S46 2021 20

LOC classification:

SB360.6 .S46 2021

Contents:

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

Scope and content: 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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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Libro	Ingenieria Agroindustrial		General		664.8 S46 2021 (Browse shelf(Opens below))				Ej. 2	Available (Préstamo 5 días)			1102015001
	Libro	Ingenieria Agroindustrial		General		664.8 S46 2021 (Browse shelf(Opens below))				Ej. 1	Available (Préstamo interno)			1102014995

Incluye las bibliografías

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

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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