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Color grading of strawberry using computer vision and backpropagation artificial neural network. [electronic resource].

By:

ElMasry, G. M

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Language: English Summary language: Arabic Description: p.7063 -7077Other title:

التدريج اللونى لثمار الفراولة باستخدام الحاسب الالى والشبكة العصبية الصناعية [Added title page title]

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Mansoura university journal of agricultural sciences, 2009 v. 34 (6) Part B [electronic resource].

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In: Mansoura University Journal of Agricultural Sciences 2009.v.34(6)Part-BSummary: Colour is often used as an indication of quality, ripeness and freshness for agricultural products including strawberry fruits. A laboratory computer vision system was established for colour grading of strawberry (Fragaria x ananassa) based on its ripeness stage. Colour features extracted from an image contained the brightness values of each pixel in the image; therefore these featu'lls represent the appearance of the fruits and strongly reflect ripening stage and firmness of the fruits.

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Colour is often used as an indication of quality, ripeness and freshness for agricultural products including strawberry fruits. A laboratory computer vision system was established for colour grading of strawberry (Fragaria x ananassa) based on its ripeness stage. Colour features extracted from an image contained the brightness values of each pixel in the image; therefore these featu'lls represent the appearance of the fruits and strongly reflect ripening stage and firmness of the fruits.

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