Evelyn Gutierrez Leon, Jorge Erik Montiel Arguijo, Chadwick Carreto Arellano, F. R. M. García
{"title":"Propuesta de sistema de gestión inteligente basado en IoT para hidroponia","authors":"Evelyn Gutierrez Leon, Jorge Erik Montiel Arguijo, Chadwick Carreto Arellano, F. R. M. García","doi":"10.13053/rcs-148-10-19","DOIUrl":null,"url":null,"abstract":"This article proposes the design of an intelligent management system based on the Internet of Things (IoT) paradigm for the case of hydroponic crop use. The network architecture and design of prototypes are proposed, focused on obtaining the information in “real time” of the key parameters that develop the hydroponic crops of semi-commercial and self-consumption scale, as well as the first version of the graphic interface for mobile devices that will allow crop management and decision making. The premise of the project is the development of a modular, scalable, low-cost solution, easy installation and use.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Res. Comput. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13053/rcs-148-10-19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This article proposes the design of an intelligent management system based on the Internet of Things (IoT) paradigm for the case of hydroponic crop use. The network architecture and design of prototypes are proposed, focused on obtaining the information in “real time” of the key parameters that develop the hydroponic crops of semi-commercial and self-consumption scale, as well as the first version of the graphic interface for mobile devices that will allow crop management and decision making. The premise of the project is the development of a modular, scalable, low-cost solution, easy installation and use.