Imaging analysis technique for assessing orange maturity (Record no. 60531)
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000 -LEADER | |
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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.