Please use this identifier to cite or link to this item:
http://repository.kln.ac.lk/handle/123456789/24499
Title: | Drone Technology for Rice Agriculture at the Fertilizer Spraying Process |
Authors: | Amarasinghe, Akarshani Jayaratne, Lakshman Wijesuriya, Viraj B. |
Keywords: | drone simulator, q-learning, path planning algorithm |
Issue Date: | 2021 |
Publisher: | Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka |
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 |
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. |
URI: | http://repository.kln.ac.lk/handle/123456789/24499 |
Appears in Collections: | ICACT–2021 |
Files in This Item:
File | Description | Size | Format | |
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ICATC Proceeding 2021 14.pdf | 1.25 MB | Adobe PDF | View/Open |
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