Desenvolvimento de uma plataforma para caracterização de cores e índice de maturação em goiaba (Psidium guajava L.) utilizando um microcontrolador programável arduíno.

Abstract

The post-harvest losses have been studied to optimize this step, where technology, associated with the knowledge of the fruit maturation processes, provide an alternative. The aim of this work is to create an automatic system that could acquire and control the variables that represent color efficiently with high performance and easy handling using sensors and actuators controlled by Arduino. The controler can associate the color with fruit maturity and physiological development, determining the maturity indices, the effect of the maturity stage on quality. A method capable of capturing the colors of the visible spectrum using the TCS 230 color sensor offers a conversion of the color range into data of type (R,G,B), that was correlated using the method of Spearman with the changes involving nutrients with the physiological development of guava (psidium guajava l.), classifying in into five visible maturation stages in according to the skin color: Stage 1: dark green skin; Stage 2: Green breaking to yellow; Stage 3: The yellow skin starts to appear; Stage 4: The skin color is yellow; Stage 5: The skin is completely yellow. Using the physicochemical analysis that provided the amounts of pigments, sugars and total acids. Strong direct and indirect correlations were found between the physical-chemical parameters and the color variables obtained. In this way, the existing correlation between the analysis of variables allows distinguishing the color presented by the sensor and the fruit maturation stage, allowing the five stages to be characterized by the color of the skin.