02384cab a2200301Ia 45 0 u188020 SIRSI 101219s2006 ua ss b eng d EAL eng ara ART AUJAS V14 No2 2 Elbatawi, I. E. Arab universities journal of agricultural sciences, 2006 v. 14 (2) [electronic resource]. A new technique for grape inspection and sorting classification [electronic resource]. أستخدام التقنية الحديثة في فحص وفرز العنب. p.555-573 Includes references. Sorting and classification of fruits are the main problem specially for Superior and King Ruby varieties which represent more than 50% of grape production in Egypt. A usual procedure to carry out this task is based on human visual inspection considering general fruit attributes like color, size, shape, fmnness and sugar content of grape cluster. Color contains important information about fruit status and in some cases it is decisive for fruit quality differences. This paper provides a new technique to investigate the applicability of color classification, sugar content and fll11lness of grape. Standard RGB color chart, artificial neural network and a potential of nearinfrared (NIR) reflectance as a means for nondestructive measurements of grape firmness and sugar content were used. NIR spectral data were collected from the two varieties of grape in the spectral region between 800 nm and 1700 nm. Statistical models were developed using the partial least square method to predict the finnness and sugar content ofgrape. The models gave relatively good predictions ofthe firmness of both Superior and King Ruby, with corresponding r values of 0.80 and 0.65. The NIR models gave excellent prediction for grape sugar content with values of 0.71 % and 0.65 % Brix for Superior and King Ruby, respectively. Summary in Arabic. Grapes Breeding. Grapes Varieties. Grapes Postharvest technology. Grapes Grading. Ebaid, M. T. Arab universities journal of agricultural sciences. 2006.v.14(2) 1110-2675 nnas u118374 http://nile.enal.sci.eg/EALE/2006/AUJAS/1406/2/555.pdf Full Text Article. 1 AR lcc 42937 42937