Nondestructive quality evaluation of apples using near infrared reflectance spectroscopy (Record no. 81447)

MARC details
000 -LEADER
fixed length control field 03986nas|a2200421 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818170125.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 040715s2003 th uzm rtt 00| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b11933781
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.PH-03-4
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Jumanazarovich, Chyngyz Erkinbaev
245 10 - TITLE STATEMENT
Title Nondestructive quality evaluation of apples using near infrared reflectance spectroscopy
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2003
300 ## - PHYSICAL DESCRIPTION
Extent 74 leaves
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. PH-03-4
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Eng.) - Asian Institute of Technology, 2003
520 ## - SUMMARY, ETC.
Summary, etc. Multivariate models for non-destructively predicting internal quality of Red Delicious apples such as, total soluble solids (TSS), total acidity (TA) and fruit firmness (FF) were developed from NIR reflectance measurements using a spectral range from 1100 to 2500 nm. To estimate the quality indices of apple samples, the multiple linear regression (MLR), partial least square regression (PLSR), and artificial neural networks (ANNs) models were developed. The three models were compared, based on the correlation coeffcient R and root mean standard error of prediction (RMSEP). The data were devided into calibration and prediction sets. The calibration data set was used to select the wavelengths best correlated with the constituent and to fit a MLR equation and later calculate the constituent value in the prediction data set. The most significant R-values of 0.939, 0.907, 0.723 and corresponding RMSEP of 0.381, 0.0221 and 0.098 were found for TSS, TA and FF of apples, respectively. The overall statistics in prediction by PLSR method showed R-values of 0.961, 0.908 and 0.517 with RMSEP of 0.233, 0.0159 and 0.098 for TSS, TA and FF, respectively. In addition, three-layer backpropagation neural networks (NNs) were developed with different number of neurons in first input layer. The best network models were selected for predicting TSS, TA and FF with R-values of 0.955, 0.872 and 0.67 and RMSEP of 0.269, 0.0185 and 0.087, respectively. Both TSS and TA could be predicted with very good accuracy by all three methods. However, the fruit firmness was not predicted so well. In general, the best results of were obtained from PLSR analysis when discarding the extreme outliers. The MLR technique could also be used based on several selected wavelengths. The artificial NNs approach can be used with selected input data in wavelength regions with more prediction accuracy and without pretreatments of the NIR spectral data. It was concluded that the NIR spectroscopic method seemed reliable for non-destructive and rapid determination of internal quality of apples in terms of TSS, TA and FF with possible application in online grading systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Near infrared spectroscopy
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Apples
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jindal, Vinod Kumar,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Athapol Noomhorm,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rakshit, Sudip Kumar,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name T. Warunee,
Relator term Examination committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Development Bank,
Relator term Scholarship donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Japan Government,
Relator term Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis ;
Volume/sequential designation no. PH-03-4
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href=" http://203.159.5.9/ait-thesis/detail.php?q=B08771"> http://203.159.5.9/ait-thesis/detail.php?q=B08771</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b11933781
b mnait
c u
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 240418
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 040715
First date, FD (RLIN) m
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-- u
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 22-AIT Thesis (Replacement)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120651103
CREATED CREATED : 2004-07-15
RECORD Id RECORD # : i12406971
LPATRON LPATRON : 1026142
LCHKIN LCHKIN : 2016-08-27
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-- TOT CHKOUT : 6
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909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050160005608
CREATED CREATED : 2016-03-24
RECORD Id RECORD # : i12907650
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026 50.00   AIT Thesis no.PH-03-4 30050120651103 18/08/2026 3 18/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026     AIT Thesis no.PH-03-4 30050160005608 18/08/2026   18/08/2026 40-Archives
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