Agricultural UAVs are growing and developing rapidly throughout the whole world due to its extensive advantages. Agricultural drones are transforming on the way farming is being carried out. They are very suitable and agile for working in a large area of land and rough terrains with high efficiency. Agriculture drones are much bigger in size where they will have a larger and wider spraying span. They can increase and improve the efficiency of spraying more area of land in a shorter duration compared to a knapsack sprayer. The entire research design is based on quantitative research, which was conducted through simulation using SolidWorks, MATLAB and Ansys Fluent. SolidWorks was used for planning, modelling and visual ideation of the agricultural drone. Each of the individual components of the agricultural drone was measured, sketched and designed. MATLAB was used to simulate the agricultural drone to fly in a specific pattern to water a certain area. Velocity, acceleration, position and flight pathway graphs were plotted. These data were collected to observe how evenly the entire area being sprayed is fully covered. Ansys Fluent was used to display the velocity that the fluid will be flowing inside the nozzle and spraying it out.
[1]
Tong Heng Lee,et al.
Systematic Design and Implementation of a Micro Unmanned Quadrotor System
,
2014
.
[2]
Fang Deng,et al.
Trajectory Planning for Improving Vision-Based Target Geolocation Performance Using a Quad-Rotor UAV
,
2019,
IEEE Transactions on Aerospace and Electronic Systems.
[3]
Shulin Yang,et al.
The application of unmanned aircraft systems to plant protection in China
,
2018,
Precision Agriculture.
[4]
Yeyin Shi,et al.
Distribution characteristics on droplet deposition of wind field vortex formed by multi-rotor UAV
,
2019,
PloS one.
[5]
Tong Heng Lee,et al.
Design and mathematical modeling of a 4-standard-propeller (4SP) quadrotor
,
2012,
Proceedings of the 10th World Congress on Intelligent Control and Automation.
[6]
Jonathan P. How,et al.
Indoor Multi-Vehicle Flight Testbed for Fault Detection, Isolation, and Recovery
,
2006
.
[7]
Kun Li,et al.
Systematic Design Methodology and Construction of Micro Aerial Quadrotor Vehicles
,
2015
.