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May 15, 2026Drones1 citationsOpen Access

Aerodynamic Wing Design for an Unmanned Aerial Vehicle for Agricultural Applications

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GJGibran Antonio Yáñez JuárezACAdrián Alberto Castro De La CruzLPLuis Pérez-Domínguez

Key Points

  • The research aims to design an aerodynamic wing system for UAVs to enhance efficiency and performance in agriculture.
  • Developed a wing design for VTOL UAV focusing on agricultural applications.
  • Utilized airfoil selection for low-Reynolds-number optimization, CFD simulations, and wind tunnel testing for validation.
  • Incorporated winglets to improve aerodynamic performance and reduce power consumption.
  • The SELIG 1223 airfoil achieved up to 55% reduction in power requirements compared to multirotor configurations.
  • Experimental results showed consistent feasibility despite some variability, confirming reliability of the design.
  • Demonstrated applicability across diverse agricultural landscapes, paving the way for future field validation.

Abstract

This study presents the aerodynamic design of the wing system for a fixed-wing vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV), developed to enhance energy efficiency and operational performance in agricultural applications. The design responds to the limitations of conventional multirotor drones, which are limited by low endurance and high energy consumption, and crop-dusting aircraft, which are unsuitable for irregular terrain such as that found in Chihuahua, Mexico. A comprehensive methodology was adopted, integrating the selection of airfoils optimized for low-Reynolds-number conditions, computational fluid dynamics (CFD) simulations, winglet incorporation, and experimental validation through wind tunnel testing. The SELIG 1223 airfoil was selected for its superior aerodynamic efficiency, demonstrating a potential reduction of up to 55% in power requirements compared to multirotor configurations. Despite some variability in experimental results, the proposed design demonstrated consistent feasibility and reliability. Future work will focus on field validation and geometric adaptation to diverse operational scenarios, reinforcing its applicability across heterogeneous agricultural landscapes.

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Cite This Study

Juárez et al. (2026) studied this question.

synapsesocial.com/papers/6a06b8f8e7dec685947ab7eehttps://doi.org/10.3390/drones10050373
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