<p>Technological advancements in unmanned aircraft systems (UAS), popularly known as drones, have led to a surge in their usage. One of the applications in which this increase is remarkable is crop spraying, where this new technology promises to increase agricultural productivity. However, the integration of more complex operations that could increase the efficiency of these operations even more, such as multiple remotely piloted aircraft (RPA) per pilot, still faces regulatory constraints. This type of operation raises concerns among authorities regarding the feasibility and safety of simultaneously piloting multiple aircraft, particularly from a human factors’ perspective. Thus, assessing workload in such scenarios becomes crucial to provide the necessary information so that regulatory bodies, in partnership with the industry and operators, can establish safe means to enable the scalability of this type of operation. In this context, this study aimed to evaluate the workload implications of operating multiple RPA considering the current technological and regulatory scenario, as well as discuss the efficiency of using well-known workload assessment scales for remotely piloted operations. For this, expert pilots participated in simulated operations of one, two, and three aircraft under normal and abnormal conditions, evaluating workload using the ISA and NASA–TLX scales. Results revealed a significant workload increase with the number of aircraft and under abnormal conditions, with both scales exhibiting strong correlation. Despite their original contexts, the ISA and NASA–TLX scales proved effective in measuring workload in RPA operations. Findings suggest that simultaneous piloting of three aircraft may be unfeasible under certain conditions, emphasizing the importance of workload considerations in RPA interface design and mission planning software development projects.</p>