Y. Jayasuriya, C. S. Elvitigala, Kolitha Warnakulasooriya, B. Sudantha
{"title":"Low Cost and IoT Based Greenhouse with Climate Monitoring and Controlling System for Tropical Countries","authors":"Y. Jayasuriya, C. S. Elvitigala, Kolitha Warnakulasooriya, B. Sudantha","doi":"10.1109/ICSSE.2018.8519997","DOIUrl":null,"url":null,"abstract":"Most of the greenhouses in the tropical countries are suffering from controlling of temperature and humidity although they are occupied with state of the art controlling systems. This research was targeted to find solution for certain parameter controlling of a green house in tropical countries including humidity and temperature. The weather parameters are measured and data would be stored in a remote server using IoT enabled weather station. All the controlling algorithms were based on the current data and previously measured data available in the server.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2018.8519997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Most of the greenhouses in the tropical countries are suffering from controlling of temperature and humidity although they are occupied with state of the art controlling systems. This research was targeted to find solution for certain parameter controlling of a green house in tropical countries including humidity and temperature. The weather parameters are measured and data would be stored in a remote server using IoT enabled weather station. All the controlling algorithms were based on the current data and previously measured data available in the server.