Sensor-based quality assessment system for fruits and vegetables / (Record no. 130733)

000 -LEADER
fixed length control field 05616cam a2200577 i 4500
001 - CONTROL NUMBER
control field 9781003084174
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509193135.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200807t20212021flu ob 001 0 eng
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003084174
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003084176
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000170436
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000170438
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000170597
-- electronic book
-- EPUB
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000170594
-- electronic book
-- EPUB
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000170511
-- electronic book
-- Mobipocket
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000170519
-- electronic book
-- Mobipocket
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781771889353
-- hardcover
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1182807520
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1182807520
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number SB360.6
Item number .S46 2021
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS
Subject category code subdivision 070010
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 000000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 073000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TVB
Source bicssc
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 664/.8
Edition number 23
245 00 - TITLE STATEMENT
Title Sensor-based quality assessment system for fruits and vegetables /
Statement of responsibility, etc edited by Bambang Kuswandi, PhD, Mohammed Wasim Siddiqui, PhD.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 -
-- Palm Bay, FL, USA ;
-- Burlington, ON, Canada :
-- Apple Academic Press ;
-- Boca Raton, FL, USA ;
-- Abingdon, Oxon, UK :
-- CRC Press,
-- 2021.
264 #4 -
-- ©2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
490 1# - SERIES STATEMENT
Series statement Postharvest biology and technology series
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Real-Time Quality Assessment of Fruits and Vegetables: Sensing Approaches / Bambang Kuswandi -- Sensors for Ripeness Measurement of Fruits and Vegetables / Sucheta and Kartikey Chaturvedi -- Sensors for Sorting and Grading of Fruits and Vegetables / Nadia Sharif, Burera Sajid, Neelma Munir, and Shagufta Naz -- Fluorescence Tools for Sensing of Quality-Related Phytochemicals in Fruits and Vegetables / Giovanni Agati, Wolfgang Bilger, and Zoran G. Cerovic -- Electrochemical Sensors for Quality Determination of Fruits and Vegetables / Esmaeil Heydari-Bafrooei, Ali A. Ensafi, and Maryam Amini -- Electronic Nose (e-Nose) Application in the Food Industry / Swarajya Laxmi Nayak, Bindvi Arora, Shruti Sethi, and R.R. Sharma -- IR Spectroscopy for Quality of Fruits and Vegetables / Vasudha Bansal and Nitya Sharma -- Nuclear Magnetic Resonance (NMR) Spectroscopy for Quality Determination of Fruits and Vegetable / Aamir Hussain Dar, Hilal Ahmad Makroo, Shafaq Shah, and Shafat Khan -- X-Ray Imaging for Quality Detection in Fruits and Vegetables / R.R. Sharma, S. Vijay Rakesh Reddy, and G. Gajanan -- Radio Frequency Identification (RFID) / H.A. Makroo, S. Bashir, A. Jabeen, and D. Majid -- Application of Computer Vision System in Fruit Quality Monitoring / S. Bashir, A. Jabeen, H.A. Makroo, and F. Mehraj.
520 ## - SUMMARY, ETC.
Summary, etc "Sensor-Based Quality Assessment Systems for Fruits and Vegetables provides an abundance of valuable information on different sensing techniques for fruits and vegetables. It covers emerging technologies, such as NMR, MRI, wireless sensor networks (WSN), and radio-frequency identification (RFID) and their potential for industrial applications. Currently, a number of new sensor technologies based on electromagnetic properties have emerged, and great progress has also been made on other existing sensor technologies. These include X-ray, nuclear magnetic resonance (NMR) or magnetic resonant imaging (MRI), fluorescence, and other related developments, such as electrical impedance and permittivity (mainly microwave), thermal sensing, and selective gas/volatile sensing. These developments have opened new areas of research as well as new applications for sensing quality of fruits and vegetables. 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, including further technological development. 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 the sensor development of noninvasive techniques for quality assessment of fruits and vegetables. Presents the current status of different sensing systems in the context of commercial application and potentials of these sensing technologies for fruits and vegetables. This volume is dedicated solely to the application of sensor technology for evaluation of quality of fruits and vegetables and will be a rich resource for professors/lecturers teaching sensor technology for food technology courses; researchers who work on sensor development, agriculture and food technology; students in related areas; and industry professionals."--
-- Provided by publisher.
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Fruit
General subdivision Quality.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Vegetables
General subdivision Quality.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Detectors.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BUSINESS & ECONOMICS / Industries / Agribusiness
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCIENCE / General
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCIENCE / Life Sciences / Horticulture
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kuswandi, Bambang,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Siddiqui, Mohammed Wasim,
Relator term editor.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781003084174
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

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