Evaluación de los defectos de calidad de café variedad arábiga (Coffea Arabica) y robusta (Coffea Canephora) mediante visión artificial
The present work of titration was included in the analysis of quality defects of Arabian variety coffee (Coffea arabica) and robusta (Coffea canephora), using the artificial vision system, for which the MatLab programming language application tool was Implemented, in which a total of 80 images with...
Sábháilte in:
| Príomhchruthaitheoir: | |
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| Formáid: | bachelorThesis |
| Teanga: | spa |
| Foilsithe / Cruthaithe: |
2020
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| Ábhair: | |
| Rochtain ar líne: | http://dspace.udla.edu.ec/handle/33000/13036 |
| Clibeanna: |
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Cuir clib leis | Achoimre: | The present work of titration was included in the analysis of quality defects of Arabian variety coffee (Coffea arabica) and robusta (Coffea canephora), using the artificial vision system, for which the MatLab programming language application tool was Implemented, in which a total of 80 images with different characteristics were analyzed. For the evaluation of the images an algorithm was created which generates exact data of what is required to analyze, for which in the case of evaluation of black grain defect the range of blue hue between a healthy grain and a defective was measured, which obtained an acceptable effectiveness, for the analysis of grain broca and snail was generated an algorithm that identified contours with different sizes, in this case a margin of difference was found which was found very close in comparison, which can generate a margin of error in the discrimination of these grains for which it was recommended to expand the number of samples analyzed, finally we evaluated the broken grains this algorithm obtained complete reliability to detect the totality of grains with defect. Subsequently, the microbial growth evaluation of grains with moisture of 11 percent and 15 percent was performed, for which the Gaugh methodology for the standardization of grain moisture and the direct platelet methodology for percentage growth of the micro-organism were used, In this process it was identified that the microbial growth is directly related to the moisture of the grain, an increase of 10 percent was found which in larger scale productions represents a considerable loss. Finally, the growth of microorganisms in defective grains was analyzed, which was potentiated in the vast majority, due to the wear that produces certain defects in the physical structure of the grain allowing the easy incubation of microorganisms. |
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