{"title":"Analysis and Design of Cattle Management System based on IoT","authors":"Byung-ho Cho","doi":"10.7236/JIIBC.2021.21.2.125","DOIUrl":null,"url":null,"abstract":"Implementation of livestock smart-farm can be done more effectively with IoT technology developing. An build of useful stock management system can be if of judgement are notified on smart-phone after cattle’s illness and estrus are judged using IoT technology. These judgement method of cattle’s illness and estrus can be done with gathering living stock data using temperature sensor and 3 axis acceleration sensor and sending these data using IoT and internet network into server, and studying AI machine learning using these data. In this paper, to build this cattle management system based on IoT, effective system of the whole architecture is showed. Also an effective analysis and design method to develop this system software will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.","PeriodicalId":22795,"journal":{"name":"The Journal of the Institute of Webcasting, Internet and Telecommunication","volume":"4 1","pages":"125-130"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of the Institute of Webcasting, Internet and Telecommunication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7236/JIIBC.2021.21.2.125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Implementation of livestock smart-farm can be done more effectively with IoT technology developing. An build of useful stock management system can be if of judgement are notified on smart-phone after cattle’s illness and estrus are judged using IoT technology. These judgement method of cattle’s illness and estrus can be done with gathering living stock data using temperature sensor and 3 axis acceleration sensor and sending these data using IoT and internet network into server, and studying AI machine learning using these data. In this paper, to build this cattle management system based on IoT, effective system of the whole architecture is showed. Also an effective analysis and design method to develop this system software will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.