Mobile system for optimized planning to drone flight applied to the precision agriculture

• Main Author: Silva, André Luiz Rabello da
• Publication Date: 2020
• Format: Bachelor thesis
• Language: eng
• Source: Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
• Download full: http://repositorio.utfpr.edu.br/jspui/handle/1/25919
• topic: Android (Recurso eletrônico); Drone; Predator (Drone); Agricultura de precisão; Android (Electronic resource); Drone aircraft; Predator (Drone aircraft); Precision farming; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

This paper presents a mobile app developed to optimize the drone flight in a precision agriculture scenario. The Android platform was chosen, once it have free tools for development and there are many different API that could be used to solve this problem. For map presentation, as well as geocoding manipulation, Google tools were used. For the optimization, an algorithm based on recursive auctions was used, which has the characteristic of finding feasible solutions even in complex scenarios. The app has been tested and achieved feasible results for large scenarios with over a thousand waypoints in just few minutes, even running on a mobile device. It highlights the mobile app, and the recursive auction algorithm, it is an important solution for drone flight optimization in rural areas, where there is usually no possibility to run the application on traditional computers, as usually there is no access to the Internet.