{"title":"Design of Green Agriculture System Using Internet of Things and Image Processing Techniques","authors":"H. Tran, H. Ngo, T. Nguyen, Hung Nguyen","doi":"10.1109/GTSD.2018.8595663","DOIUrl":null,"url":null,"abstract":"Recent years, farming issue is one of the important problems and need to be considered. To handle this issue, it is so essential that we need figure out solutions to assure the growth of crops effectively. In this paper, we propose the new solution to plant automatically and monitor remotely. Firstly, the model of plantation is described in depth. Then, CPU plays a central role to handle the irrigation and aftercare the whole system. It is implemented several sensors and actuators to manipulate the environmental farm. The system parameters are updated in cloud frequently. Furthermore, all of plantations is supervised by digital cameras. The host PC will analyze the image to predict the process of development in agriculture. Therefore, via Internet of Things (IoT) and image processing technology, farmers are able to estimate the best harvesting time and assure the mass production of food.","PeriodicalId":344653,"journal":{"name":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Green Technology and Sustainable Development (GTSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GTSD.2018.8595663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Recent years, farming issue is one of the important problems and need to be considered. To handle this issue, it is so essential that we need figure out solutions to assure the growth of crops effectively. In this paper, we propose the new solution to plant automatically and monitor remotely. Firstly, the model of plantation is described in depth. Then, CPU plays a central role to handle the irrigation and aftercare the whole system. It is implemented several sensors and actuators to manipulate the environmental farm. The system parameters are updated in cloud frequently. Furthermore, all of plantations is supervised by digital cameras. The host PC will analyze the image to predict the process of development in agriculture. Therefore, via Internet of Things (IoT) and image processing technology, farmers are able to estimate the best harvesting time and assure the mass production of food.