DronesC - a tool for drones design using genetic algorithms
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Дата
2021
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Анотація
DronesC aims to develop software that will help people build and
configure drones quickly and easily. We aim to apply our expertise to agriculture as
well. In this paper, we provide a simulation that demonstrates the impact that drones
can have in watering crops on the fields. This project utilizes Unity3D in conjunction
with C# NEAT (NeuroEvolution of Augmenting Topologies) technology to
successfully simulate the environment from where we can extract the necessary data.
Опис
Vopilov A. DronesC - a tool for drones design using genetic algorithms / A. Vopilov ; sci. advisor V. Sudacevschi // Black Sea Science 2021. Information Technology, Automation and Robotics : рroc. of the Intern. Competition of Student Scientific Works / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2021. – P. 10-19 : fig. – Ref.: 10 tit.
Ключові слова
Drones, Agriculture, water, watering, NEAT technology, genetic algorithms, machine learning, simulation