Desarrollo de un algoritmo para la identificación de la madurez del aguacate mediante el uso de visión artificial

Abstract

Abstract: This work presents the development of an algorithm for identifying the maturity of the avocado using computer vision. A Support Vector Machine model was trained (SVM) with OpenCV to classify images of avocados in different stages of maturity and coloration. Subsequently, this model was implemented in a prototype based on Raspberry Pi. This system allows a quick and accurate assessment of the maturity of the avocado, which can be very useful in the food industry, since it is possible apply this project to other types of fruits, thus obtaining better control and higher quality in regarding the product.