The company HEMAV Foundation is using an HP2 blended wing body (BWB) drone system to carry its payload which consists of onboard computers, a hi-resolution camera and other highly sensitive and expensive sensors. The primary objective of this drone system is to detect Locust in the African desert and use the data obtained by the drone system to fight locusts and prevent agricultural fields from damage. Currently, the HP2 drone system is brought to the ground using a parachute which is deployed in the air roughly 150 meters from the ground. This method of landing introduces many risks as when the parachute is deployed, it is at the mercy of the wind where ever the draft takes it. As the drone is used in agricultural fields the drone system is often found hanging in the trees and sometimes lands in a very inaccessible area. To improve the landing capabilities of the UAV, it is proposed to make changes to the design of the wing. To make the changes, we need to understand how the current wing is performing. To start this process, we shall obtain an accurate CAD model of the current UAV configuration and later analyse it for its performance in the air. In this master thesis, we will obtain a 3D scan of the drone system and reverse engineer it in a 3D parametric CAD system. A detailed description of the 3D modelling process is described. The coordinates of the wing area have been obtained at the root and the tip of the aerofoil. The 3D model is imported into a Computer-Aided Engineering (CAE) software and a detailed process of Computational Fluid Dynamics (CFD) analysis is established. Meshing, boundary conditions, inlet velocity and many other parameters are setup. Mesh independence studies are performed at a 4 deg AoA to obtain a reasonable level of accuracy while implementing a standard wall function with a K-epsilon turbulence model. Several parameters are studies which include cl, cd, cl/cd, skin friction, wall shear, pressure distribution and velocity profiles. Stall angle has been deduced from this study as well. In the future, more advanced 3D modelling techniques have been suggested to improve the accuracy of the 3D model. Furthermore, stability analysis has also been suggested which can be continued in the future.