Online ISSN: 2515-8260

Keywords : Raspberry Pi processor

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.