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January 25, 2025Mathematical Modelling and Engineering ProblemsOpen Access

Development and Evaluation of Drone Based Spraying System for Precision Agriculture Application

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Authors

AYAyoub El YousfiKU LeuvenYAYaser AlawiAltınbaş University

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Implication

Simulation study demonstrates precision pesticide application using an autonomous quadcopter guided by multispectral mapping, indicating reduced chemical use and improved crop management.

Key Points

  • Design, model, and simulate an autonomous quadcopter spraying system integrated with multispectral imaging for site-specific pesticide delivery in precision agriculture.
  • Modeled physical quadcopter frame components and spray assembly using SolidWorks CAD software.
  • Simulated quadcopter flight dynamics and trajectory tracking control using MATLAB Simulink with tuned PID controllers.
  • Integrated aerial multispectral camera data analyzed with Pix4Dfields and Agremo software to map crop health and identify targeted spraying zones.
  • Simulated trajectory tracking confirmed stable quadcopter flight and path-following performance under PID control.
  • Multispectral imaging analysis pinpointed localized crop stress areas requiring treatment, reducing required pesticide and water volumes relative to broadcast spraying.

Cite This Study

Yousfi et al. (2025) studied this question.

synapsesocial.com/papers/6a7ccfb51739dcc05402b4d4https://doi.org/10.18280/mmep.120134
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