In the dynamic context of the modern coffee industry, the integration of Industry 4.0 methodologies has emerged as an indispensable complement to traditional manual labor, fostering automation and heightened precision. This thesis, titled "Increase of repeatability and automation in coffee quality measurements," explores the successful automation of critical processes involved in the assessment of key coffee quality parameters. A prototype, utilizing a vertical automatic guide steered by a stepper motor, was developed to facilitate the measurement of temperature, resulting in improved measurement repeatability. The subsequent stages of the research delve into the augmentation of automation in additional parameters, focusing on persistency, crema volume, and crema quality.