Agriculture is confronted with the imperative to enhance output while simultaneously ensuring increased profitability and minimizing ecological repercussions. Consequently, digital technologies have emerged as essential instruments for the acquisition of data, the analysis of information, and the facilitation of decision-making. The digital platform AgDataBox (ADB, https://adb.md.utfpr.edu.br/map) provides no-cost computational resources for agricultural professionals, scholars, and service entities, with a focus on Precision Agriculture (PA) by integrating data, software, protocols, and methodologies to facilitate agricultural progress through the utilization of open-access technologies. The purpose of this study was to examine how users assess the ADB-Map. The AgDataBox Map (ADB-Map) application works with spatial data to create thematic maps and management zones to subsidize PA and digital agriculture. The ADB-Map functionalities are divided into different layers, composed of (i) a back-end, which contains algorithms and rules of business operation, and (ii) a front-end, which is the interface of interaction with the user. By applying the evaluation methods suggested by NBR ISO/IEC 14598-6 across all areas, the ADB-Map achieved scores above 85% (the standard mandates a minimum of 70%), and an overall score of 92% was achieved. Hence, we believe users widely accept the software.