Description
Apple Academic Sensor-Based Quality Assessment Systems for Fruits and Vegetables 2020 Edition by Bambang Kuswandi, Mohammed Wasim Siddiqui
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 Table of contents : - 1. Real-Time Quality Assessment of Fruits and Vegetables: Sensing ApproachesBambang Kuswandi2. Sensors for Ripeness Measurement of Fruits and VegetablesSucheta and Kartikey Chaturvedi3. Sensors for Sorting and Grading of Fruits and VegetablesNadia Sharif et al.4. Fluorescence Tools for Sensing of Quality-Related Phytochemicals in Fruits and VegetablesGiovanni Agati, Wolfgang Bilger, and Zoran G. Cerovic5. Electrochemical Sensors for Quality Determination of Fruits and VegetablesEsmaeil Heydari-Bafrooei, Ali A. Ensafi, and Maryam Amini6. Electronic Nose (E-Nose) Application in the Food IndustrySwarajya Laxmi Nayak et al.7. IR Spectroscopy for Quality of Fruits and VegetablesVasudha Bansal and Nitya Sharma8. Nuclear Magnetic Resonance (NMR) Spectroscopy for Quality Determination of Fruits and VegetableAamir Hussain Dar et al.9. X-Ray Imaging for Quality Detection in Fruits and VegetablesR. R. Sharma, S. Vijay Rakesh Redd, and G. Gajanan10. Radio Frequency Identification (RFID)S. Bashir, A. Jabeen, and H. Makroo11. Application of Computer Vision System in Fruit Quality MonitoringS. Bashir, A. Jabeen, and H. Makroo