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Hass avocado classification by color and volume using a Kinect sensor
Author(s): Gustavo Andres Moreno H.; Manuel G. Forero; Felipe Gómez A.; Mauricio Ramírez N.
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Paper Abstract

In this article an automatic Hass avocado grading system is introduced. The equipment consists of a conveyor belt and an artificial vision system. The color classification was made by determining a color scale according to agricultural standards. From the depth image, the Z coordinate of the points was obtained and a function that represents the shape of the avocado was constructed. It was used to calculate the volume of the avocado. Fifty avocados were classified (one avocado per second). The volume found was validated by the immersion of the avocados in water and correlating the displacement with the estimated dimension.

Paper Details

Date Published: 6 September 2019
PDF: 7 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111371P (6 September 2019); doi: 10.1117/12.2529843
Show Author Affiliations
Gustavo Andres Moreno H., Univ. EIA (Colombia)
Manuel G. Forero, Univ. de Ibagué (Colombia)
Felipe Gómez A., Univ. EIA (Colombia)
Mauricio Ramírez N., Univ. EIA (Colombia)


Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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