Development and Evaluation of Drone Based Spraying System for Precision Agriculture Application
[ X ]
Tarih
2025
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
International Information and Engineering Technology Association
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Unmanned aerial vehicles (UAVs), also known as drones, are increasingly used for various purposes such as photography, surveillance, mapping, inspection, and agriculture. This research specifically focuses on agricultural drones, which have the potential to address challenges encountered by farmers, ultimately positively affecting crop yields. Their ability to apply pesticides accurately and autonomously, without direct human involvement, is crucial for modern farming practices. This study aims to design and simulate a quadcopter specifically tailored for pesticide spraying. The design process involves careful selection of components and simulation using both SolidWorks and MATLAB Simulink. In SolidWorks, design the frame and components, while MATLAB Simulink is used to simulate trajectory tracking using PID controllers. The key finding is the integration of a multispectral camera to capture images and analyze data using Pix4Dfields and Agremo software. This analysis helps pinpoint specific areas requiring treatment, thereby minimizing pesticide and water usage while maximizing profitability. By targeting exact locations in the field based on data analysis, this approach improves efficiency. The research focuses on evaluating the quadcopter’s performance and trajectory accuracy, offering valuable insights into its potential agricultural impact, and assisting farmers in enhancing their profits through improved spraying techniques and resource management.
Açıklama
Anahtar Kelimeler
agricultural, PID controller, quadcopter, trajectory tracking, unmanned aerial vehicles
Kaynak
Mathematical Modelling of Engineering Problems
WoS Q Değeri
Scopus Q Değeri
Cilt
12
Sayı
1
Künye
Yousfi, A. E., & Alawi, Y. (2025). Development and Evaluation of Drone Based Spraying System for Precision Agriculture Application. Mathematical Modelling of Engineering Problems, 12(1).
