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Books > Professional & Technical > Agriculture & farming > Pest control

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Sensor-Based Quality Assessment Systems for Fruits and Vegetables (Hardcover) Loot Price: R4,059
Discovery Miles 40 590
Sensor-Based Quality Assessment Systems for Fruits and Vegetables (Hardcover): Bambang Kuswandi, Mohammed Wasim Siddiqui

Sensor-Based Quality Assessment Systems for Fruits and Vegetables (Hardcover)

Bambang Kuswandi, Mohammed Wasim Siddiqui

Series: Postharvest Biology and Technology

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Loot Price R4,059 Discovery Miles 40 590 | Repayment Terms: R380 pm x 12*

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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

General

Imprint: Apple Academic Press Inc.
Country of origin: Canada
Series: Postharvest Biology and Technology
Release date: December 2020
First published: 2021
Editors: Bambang Kuswandi • Mohammed Wasim Siddiqui
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 324
ISBN-13: 978-1-77188-935-3
Categories: Books > Professional & Technical > Agriculture & farming > Agricultural science
Books > Professional & Technical > Agriculture & farming > Pest control > General
Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > Food & beverage technology > General
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LSN: 1-77188-935-7
Barcode: 9781771889353

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