Peru is currently the world's third-largest exporter of Hass avocados according to the latest statistics from FAOSTAT. To classify avocados efficiently in size and maturity, a robust artificial intelligence plant was implemented to classify avocados into 5 categories. This grading technique differs from traditional grading in that it is non-invasive, reducing avocado damage by manually inspecting and grading. The plant comprises the step of hardware, consisting of Aca2500 Basler camera, lens HR 2mm/F1, illuminated, and the conveyor belt 1200. The step s7 PLC software: TIA PORTAL (OPC), a sequential algorithm, and convolutional neural network decision in which the selection parameters size and color of avocado include. The classification process fulfills three main stages: Image acquisition, processing, and recognition. Convolutional neural networks were used for image treatment, obtaining an average classification precision of 60% in real-time. From the results obtained, we see that the classification can be improved.