his work explores the integration of drone systems within an agricultural context, focusing on their potential to enhance logistics, efficiency, and connectivity between farmers, companies, and service providers such as CLAAS. While there is a clear technological push toward automation across the agricultural workforce, the application of drones as complementary products beyond traditional machinery remains underdeveloped. This research investigates the role of drones from a user-centered perspective, assessing their desirability, feasibility, and viability while acknowledging the broader challenges facing automation in agriculture.

Several barriers currently hinder the adoption of new agricultural technologies. Among the most significant are limited knowledge, technical skills, and awareness among users, along with inconsistent information across communication channels. Social factors—such as low engagement, skepticism toward innovation, and resistance to change—also play a key role. On the economic side, weak incentives, high production costs, and limited willingness among consumers to pay premium prices further reduce the appeal of adopting advanced technologies. Practical challenges, including complex implementation processes, insufficient technical support, and high investment requirements, contribute to hesitation. Finally, regulatory uncertainties, unclear industry standards, and limited public funding reinforce risk aversion and a short-term decision-making mindset among farmers.

During interviews with farmers, After Sales representatives, and contractors, it became evident that the overall attitude toward automated delivery systems is cautiously positive. Stakeholders are open to the idea but express concerns regarding safety, operational procedures, and organizational responsibilities. These uncertainties led to the proposal of a structured user briefing to ensure trust and safe adoption. Although the actual time savings achieved through drone use were lower than expected, the qualitative value of improved connectivity, reduced waiting times, and potential task automation remains promising. Observing multiple drones per operator could further enhance efficiency and compensate for limited immediate time savings.

In terms of feasibility, drones currently appear to have limited short-term viability for CLAAS. However, by positioning itself as a service provider, CLAAS could leverage this technology to expand its automation portfolio. Integrating drones with existing tractor systems—either physically or digitally—could enable a more connected ecosystem. The drone may serve as a low-threshold entry point for farmers into data-driven operations, collecting valuable insights on machine use and maintenance. Prototyping demonstrated that the developed mechanism fulfills its function, though further refinement is required regarding surface friction, angles, and material behavior. By referencing the DJI M400 for electronic and structural components, the concept maintains a feasible foundation while visually aligning with CLAAS’s product identity.

Future development could focus on refining the cargo mechanism, introducing motorized grabbers, and enabling modular attachments to connect with various CLAAS machines. Multiple drones could work collaboratively to transport heavier payloads, extending operational flexibility. The integration of smart systems and data connectivity through CLAAS Connect would significantly enhance functionality and value.

Ultimately, this drone concept serves as a catalyst for discussion and experimentation—illustrating how automation can extend beyond tractors and combines to reshape agricultural logistics. While full autonomy remains restricted by regulation and public perception, the study concludes that drones offer desirable and feasible potential for CLAAS, positioning them as an early step toward a more connected and intelligent farming ecosystem.