{"title":"一种安装在无人机上的小型低功耗人工智能模块用于工厂监控系统","authors":"Tomoki Kobayashi, Tomoyuki Yokogawa, Nao Igawa, Yoichiro Sato, S. Fujii, Kazutami Arimoto","doi":"10.1109/IIAI-AAI.2019.00236","DOIUrl":null,"url":null,"abstract":"This paper describes the compact and low power AI DNN discriminator which is mounted on the small drone like a hobby type. By adopting this AI module, the effective plant monitoring system using the drone has been achieved. The experimental results applied to the pineapple fields in Okinawa are shown.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Compact Low Power AI Module Mounted on Drone for Plant Monitor System\",\"authors\":\"Tomoki Kobayashi, Tomoyuki Yokogawa, Nao Igawa, Yoichiro Sato, S. Fujii, Kazutami Arimoto\",\"doi\":\"10.1109/IIAI-AAI.2019.00236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the compact and low power AI DNN discriminator which is mounted on the small drone like a hobby type. By adopting this AI module, the effective plant monitoring system using the drone has been achieved. The experimental results applied to the pineapple fields in Okinawa are shown.\",\"PeriodicalId\":136474,\"journal\":{\"name\":\"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2019.00236\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2019.00236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Compact Low Power AI Module Mounted on Drone for Plant Monitor System
This paper describes the compact and low power AI DNN discriminator which is mounted on the small drone like a hobby type. By adopting this AI module, the effective plant monitoring system using the drone has been achieved. The experimental results applied to the pineapple fields in Okinawa are shown.