{"title":"基于三层架构的农业物联网研究","authors":"Fu Bing","doi":"10.1109/CCIOT.2016.7868325","DOIUrl":null,"url":null,"abstract":"Internet of things (IOT) of agriculture is urgent to be developed to support precision agriculture. The IOT system in agriculture mainly consists of three layers, e.g., perception, transportation and application. In this paper, we researched and developed a set of agricultural Internet system with expert guidance. Specifically, we investigated the key sensors in the perception layer, the application mode of Bluetooth and 4G in the transportation layer, and an intelligent algorithm and an application framework for the application layer. The small scale of farmland experiment is carried out to help farmers enjoy benefits of monitoring the plant production process, early warning of main diseases and pests, and rapid diagnosis.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"The research of IOT of agriculture based on three layers architecture\",\"authors\":\"Fu Bing\",\"doi\":\"10.1109/CCIOT.2016.7868325\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Internet of things (IOT) of agriculture is urgent to be developed to support precision agriculture. The IOT system in agriculture mainly consists of three layers, e.g., perception, transportation and application. In this paper, we researched and developed a set of agricultural Internet system with expert guidance. Specifically, we investigated the key sensors in the perception layer, the application mode of Bluetooth and 4G in the transportation layer, and an intelligent algorithm and an application framework for the application layer. The small scale of farmland experiment is carried out to help farmers enjoy benefits of monitoring the plant production process, early warning of main diseases and pests, and rapid diagnosis.\",\"PeriodicalId\":384484,\"journal\":{\"name\":\"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIOT.2016.7868325\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIOT.2016.7868325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The research of IOT of agriculture based on three layers architecture
Internet of things (IOT) of agriculture is urgent to be developed to support precision agriculture. The IOT system in agriculture mainly consists of three layers, e.g., perception, transportation and application. In this paper, we researched and developed a set of agricultural Internet system with expert guidance. Specifically, we investigated the key sensors in the perception layer, the application mode of Bluetooth and 4G in the transportation layer, and an intelligent algorithm and an application framework for the application layer. The small scale of farmland experiment is carried out to help farmers enjoy benefits of monitoring the plant production process, early warning of main diseases and pests, and rapid diagnosis.
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