PRINT ISSN 2285-5718, CD-ROM ISSN 2285-5726, ISSN ONLINE 2286-0126, ISSN-L 2285-5718


Published in AgroLife Scientific Journal, Vol. II, Number 1
Written by Tarek FOUDA, Assad DERBALA, Adel ELMETWALLI, Shimaa SALAH

The objective of this study is to propose a computer vision and image analysis program to fined of essay and suitable technique for external fruit inspection and predicting orange fruits maturity through the color analysis of images samples which evaluated by Envi program. Also tests the relationships between R/G ratio band, average of RGB bands and VARI indices with chlorophyll a&b and carotenoids were determined by spectrophotometer used absorption of wave length 470, 645 and 662 nm. The research revealed that: -The computer vision and image analysis program could be used to differentiate orange properties; -The results showed there are response between chlorophyll and carotenoids of orange fruits; -R/G band, average of RGB and VARI indices showed a sensitive band ratio to different orange properties such as chlorophyll and carotenoids.

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