Drone Technology for Rice Agriculture at the Fertilizer Spraying Process

dc.contributor.author	Amarasinghe, Akarshani
dc.contributor.author	Jayaratne, Lakshman
dc.contributor.author	Wijesuriya, Viraj B.
dc.date.accessioned	2022-02-25T04:02:52Z
dc.date.available	2022-02-25T04:02:52Z
dc.date.issued	2021
dc.identifier.citation	Amarasinghe Akarshani, Jayaratne Lakshman, Wijesuriya Viraj B. (2021), Drone Technology for Rice Agriculture at the Fertilizer Spraying Process, International Conference on Advances in Computing and Technology (ICACT–2021) Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka 76-81	en_US
dc.identifier.uri	http://repository.kln.ac.lk/handle/123456789/24499
dc.description.abstract	This paper presents a drone simulator to spray fertilizer for rice farmland with minimum human intervention. The proposed drone simulator is capable of suggesting the optimal path to spray fertilizer, indicating the current altitude and the current battery level of the drone at flight. The obtained results at the evaluation stage show that the proposed path planning algorithm outputs the optimal path for given farmland with minimum execution time. This solution will cherish the use of drone technology for rice agriculture while supporting the economic growth of a country.	en_US
dc.publisher	Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka	en_US
dc.subject	drone simulator, q-learning, path planning algorithm	en_US
dc.title	Drone Technology for Rice Agriculture at the Fertilizer Spraying Process	en_US