Online ISSN: 2515-8260

Keywords : Unmanned Aerial Vehicle

Impact and analysis of Axial Vane Installed in Lift of Coanda UAV

Aman Sharma; Rajat Yadav; Rishabh Chaturvedi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 708-718

In this study, the effect of rotating vanes, installed on the body of the Coanda UAV is investigated both experimentally and numerically, with the aim of improving its aerodynamics performance. By constructing and testing two models of Coanda UAVs with and without axial vanes, for measuring the lift and dynamic pressure distribution on the body, 16% increase in lift is observed. In addition, a finite volume solver is utilized to investigate the flow over Coanda UAVs with and without rotating vanes. Numerical results show that the installed axial vanes on the Coanda UAV leads to increasing lift about 21%. The numerical results are in good agreement with the experiments. Overall, the results show that mounting axial vanes on the body of Coanda UAV increase lift. The consequences of installing an axial vane at the separation point of the fuselage surface on the overall lift of the Coanda UAV are discussed

Ergonomic heavy-lift pesticide dispeller drone instilled with an intelligent atomizer to achieve optimal spray and improved pest control

S.Jagadeesh Babu; M. Shyam; A. Sivakumar; R. SathyaVignesh; J. Yogapriya

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1308-1313

The traditional method of farming can be replaced by bringing the UAV technology into play. The main idea of this paper is to project a new idea to control the pest rate with the help of Unmanned Aerial Vehicle (UAV). The drone carries a multispectral high-resolution camera which captures the image which serves as the base data for the learning. The existing data sets are used to train the models. Then patterns are analysed to identify the disease in the captured images. Using this strategy, we can get the possible results in which the healthy crop can be differentiated from the infected ones. The drone will be designed to have different compartments to store a variety of pesticides based upon need. A particular compartment selection and the quantity of a pesticide to be applied will be programmed and controlled effectively using micro-controller. If an infected crop or crop area is detected the processor not only triggers the sprayer present in the drone to spray the pesticides only to the affected area but also, controls the amount of pesticide to be sprayed. This in turn saves lot of time and improves the economic and health condition of farmers.