DronesC - a tool for drones design using genetic algorithms

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dc.contributor.authorVopilov, A.
dc.date.accessioned2022-02-10T10:22:25Z
dc.date.available2022-02-10T10:22:25Z
dc.date.issued2021
dc.descriptionVopilov 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.ru_RU
dc.description.abstractDronesC 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.ru_RU
dc.identifier.urihttps://card-file.ontu.edu.ua/handle/123456789/19628
dc.language.isoen_USru_RU
dc.subjectDronesru_RU
dc.subjectAgricultureru_RU
dc.subjectwaterru_RU
dc.subjectwateringru_RU
dc.subjectNEAT technologyru_RU
dc.subjectgenetic algorithmsru_RU
dc.subjectmachine learningru_RU
dc.subjectsimulationru_RU
dc.titleDronesC - a tool for drones design using genetic algorithmsru_RU
dc.typeArticleru_RU
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