Uso de visão computacional para classificação de frutos de acerola em imagens RGB

Abstract

With the rising popularization of the Agriculture 4.0, the evolution of agricultural production has made customary the use of technology in the fields. Among the emerging innovations, automated harvesting, a technique that recognizes and classifies patterns in crop images, has become popular. For this reason, effective approaches to bring security to your results are needed. Acerola cherry is a fruit widely consumed in Brazil and abroad, however, there are still no studies on the use of computer vision applied to this crop. This study aims to present an intelligent model, using computer vision and machine learning techniques, capable of classifying acerola cherry fruits in RGB images in two classes: reddish or green coloring