{"title":"无人机vs登革热:基于无人机的蚊虫控制系统预防登革热","authors":"A. Amarasinghe, V. B. Wijesuriya","doi":"10.1109/RIVF48685.2020.9140773","DOIUrl":null,"url":null,"abstract":"Dengue is one of the most rapidly spreading diseases in Asia. It is transmitted by the bite of a female Aedes mosquito. Aedes mosquitoes breed in places with stagnant water. Unfortunately, some of these places are not often directly accessible to humans. However, drones can easily reach such locations from above ground. In this paper, we present a drone-based mosquito control system that is capable of identifying possible mosquito breeding grounds with the assistance of drones and taking suitable measures to prevent the growth of mosquito population. We also propose two algorithms to identify small-scale standing water bodies. Field tests and experimental evaluation show that our approach is highly effective in identification and neutralisation of those water bodies conducive to the survival of Aedes mosquitoes.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Drones vs Dengue: A Drone-Based Mosquito Control System for Preventing Dengue\",\"authors\":\"A. Amarasinghe, V. B. Wijesuriya\",\"doi\":\"10.1109/RIVF48685.2020.9140773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dengue is one of the most rapidly spreading diseases in Asia. It is transmitted by the bite of a female Aedes mosquito. Aedes mosquitoes breed in places with stagnant water. Unfortunately, some of these places are not often directly accessible to humans. However, drones can easily reach such locations from above ground. In this paper, we present a drone-based mosquito control system that is capable of identifying possible mosquito breeding grounds with the assistance of drones and taking suitable measures to prevent the growth of mosquito population. We also propose two algorithms to identify small-scale standing water bodies. Field tests and experimental evaluation show that our approach is highly effective in identification and neutralisation of those water bodies conducive to the survival of Aedes mosquitoes.\",\"PeriodicalId\":169999,\"journal\":{\"name\":\"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIVF48685.2020.9140773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF48685.2020.9140773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Drones vs Dengue: A Drone-Based Mosquito Control System for Preventing Dengue
Dengue is one of the most rapidly spreading diseases in Asia. It is transmitted by the bite of a female Aedes mosquito. Aedes mosquitoes breed in places with stagnant water. Unfortunately, some of these places are not often directly accessible to humans. However, drones can easily reach such locations from above ground. In this paper, we present a drone-based mosquito control system that is capable of identifying possible mosquito breeding grounds with the assistance of drones and taking suitable measures to prevent the growth of mosquito population. We also propose two algorithms to identify small-scale standing water bodies. Field tests and experimental evaluation show that our approach is highly effective in identification and neutralisation of those water bodies conducive to the survival of Aedes mosquitoes.