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The objective of this paper is describe the method to locate strawberries and to evaluate their maturity by means of image processing. The detection was realized according to the quantity of the red color and the ripeness with the green/yellow color in the surface of the strawberry. The embedded system Raspberry Pi 2 and a Picamera were used for the described process. The implemented algorithm was written in Python and additionally the Open CV libraries were used. This algorithm was applied in a strawberry harvesting machine that performs the processes of: identification, ripeness evaluation, and harvesting. The processes are developed in real time under different established illumination conditions. The program identified all the strawberries and recognized the maturity in a 76.67%. The presented paper pretends to help the strawberry harvesting and selection processes.

Implementación de un sistema de procesamiento de imágenes integrado con Raspberry PI 2B para reconocimiento y recolección de fresas maduras