Imaging analysis technique for assessing orange maturity (Record no. 60531)

MARC details
000 -LEADER
fixed length control field 02233cab a2200289Ia 45 0
001 - CONTROL NUMBER
control field u211532
003 - CONTROL NUMBER IDENTIFIER
control field SIRSI
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131120s2015 ua ss b eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EAL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
Language code of summary or abstract ara
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) ART MJAE V32 No1 14
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Elmetwalli, A. H.
240 10 - UNIFORM TITLE
Uniform title Misr Journal of Agricultural Engineering, 2015 v.32 (1)
Medium [electronic resource].
245 10 - TITLE STATEMENT
Title Imaging analysis technique for assessing orange maturity
Medium [electronic resource].
246 15 - VARYING FORM OF TITLE
Title proper/short title تقنية تحليل الصور لتقدير نضج ثمار البرتقال.
300 ## - PHYSICAL DESCRIPTION
Extent p.243-256.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes references.
520 ## - SUMMARY, ETC.
Summary, etc. The objective of the present study was to develop a computer vision and image analysis program to serve as a simple and suitable technique for external fruit inspection and for predicting orange fruits maturity through the image analysis technique. The ENVI software package was utilized for image processing and analysis. The study also investigated the effectiveness of some color bands including RIG ratio, average of RGB bands (intensity) and VARI indices for predicting biochemical properties including chlorophyll a and b, carotenoids, acidity, pH, tss, and tsslacidity. Absorbance of the extracts was read by a spectrophotometer at specific wavelengths of 470, 645 and 662 nm to determine chlorophylls and carotenoids concentrations. The results revealed that the computer vision and image analysis program could be used to differentiate orange maturity stages. The results also showed that there is a strong response between both chlorophyll and carotenoids of orange fruits and the band ratios used in this research. RIG band ratio, average of RGB pnd VARI indices showed sensitive band, ratios to different orange biochemical properties. Keywords: image analysis, computer vision, orange, carotenoids, RGB, band ratios.
546 ## - LANGUAGE NOTE
Language note Summary in Arabic.
596 ## -
-- 1
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Plants
General subdivision Analysis.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image analysis
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Phenotype.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Salah, Sh.
773 0# - HOST ITEM ENTRY
Title Misr Journal of Agricultural Engineering.
Related parts 2015.v.32(1)
International Standard Serial Number 1687-384X
Control subfield nnas
Record control number u192786
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://nile.enal.sci.eg/EALE/2015/MJAE/3215/1/243.pdf">http://nile.enal.sci.eg/EALE/2015/MJAE/3215/1/243.pdf</a>
Public note Full Text Article
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Articles
Source of classification or shelving scheme Library of Congress Classification

No items available.


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