The supervision and monitoring of agricultural variables are crucial to ensure crop success and maximize production. With the advancement of technology, precise and effective data collection systems have been developed, which have improved decision-making in crop management. In the specific case of blueberries, up-to-date information on factors such as soil moisture and environmental variables is required to enable farmers to carry out proper management. Based on this necessity, this article deals to develop an automated irrigation and control system based on tracking the most relevant variables in irrigation and fertilization decision-making. Starting with the design of independent and self-sustaining measurement modules that collect real-time data through on-site sensors and the implementation of an irrigation control system to ensure uniformity throughout the crop. The system was installed and tested in a blueberry crop, generating a database of different uniform irrigation timings. This system can be used as a foundation to test different types of controllers aiming to optimize water and fertilizer consumption.