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A Robotic Simulation forAerialMonitoringand Disease Detection of Gladiolus Field

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  • Arisha Saeed Akkas

    (Lahore College for Women University, Lahore, Pakistan)

Abstract

Agriculture is an essential sector that is witnessing the integration of advanced technologies to improve productivity and efficiency. Aerial crop monitoring using drones has surfaced as a pivotal technology for precision agriculture, allowing farmers to collect detailed data regarding crop health, soil conditions, and pest infestations. A robotic farm monitoring system in simulation can provide an initial platform to test various automated services before deploying them inthe real field. This paper presentsanagricultural robotic simulatorcurrently developed for the gladiolus field. Simulation has beendesigned using V-REP(now known as CoppeliaSim)and Robot Operating System (ROS). Autonomous path planning and navigation are achieved through Hector Simultaneous Localization and Mapping(SLAM)and Rapidly Exploring Random Trees (RRT). One of the most common and fatal diseasesof the gladiolusplantnamed ’Fusarium yellow’ has been successfully detected through image processing. This simulation is specifically designed to save resources and reduce the time and cost of developing and testing real-time autonomous aerial roboticsystems and test algorithms for crop monitoring.Usability evaluation of the developed system through user survey shows positive results.

Suggested Citation

  • Arisha Saeed Akkas, 2025. "A Robotic Simulation forAerialMonitoringand Disease Detection of Gladiolus Field," International Journal of Innovations in Science & Technology, 50sea, vol. 7(1), pages 550-565, March.
    • Handle: RePEc:abq:ijist1:v:7:y:2025:i:1:p:550-565
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