Conditioning of Temperature and Soil Moisture in Chrysanthemum Cut Flowers Greenhouse Prototype based on Internet of Things (IoT)

M. Fauziyah, H. K. Safitri, D. Dewatama, Erdin Aulianta
{"title":"Conditioning of Temperature and Soil Moisture in Chrysanthemum Cut Flowers Greenhouse Prototype based on Internet of Things (IoT)","authors":"M. Fauziyah, H. K. Safitri, D. Dewatama, Erdin Aulianta","doi":"10.26418/ELKHA.V13I1.43078","DOIUrl":null,"url":null,"abstract":"Currently, cut chrysanthemum cultivation in a greenhouse is still using a conventional system. Temperature and soil moisture are the most important factors in the growth process. If the temperature and humidity of the soil are not conditioned, the roots will quickly rot and slow the growth process of chrysanthemums. Internet of Things is an integrated system with a data-based server that stores data in the cloud from sensors so that the system can be monitored remotely in real-time. Based on this, an integrated system was designed to make it easier for farmers to condition the temperature and humidity of the chrysanthemum flower soil. In temperature conditioning, if the temperature of cut chrysanthemum is detected <24 ℃ then the heater will be \"on\" by adjusting the fan rotation and vice versa. Meanwhile, soil moisture conditioning is carried out by distributing water if the detected soil moisture is <50%, then the water pump is in the \"on\" state. The data on the degree of temperature and the percent of soil moisture will be recorded into the cloud which will then be displayed in the form of graphs and history data on the webserver and Android. By using this system, it is found that the growth process of cut chrysanthemums can grow 7 days faster than the standard harvest time of 30 days.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"171 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Elkha Jurnal Teknik Elektro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26418/ELKHA.V13I1.43078","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

Currently, cut chrysanthemum cultivation in a greenhouse is still using a conventional system. Temperature and soil moisture are the most important factors in the growth process. If the temperature and humidity of the soil are not conditioned, the roots will quickly rot and slow the growth process of chrysanthemums. Internet of Things is an integrated system with a data-based server that stores data in the cloud from sensors so that the system can be monitored remotely in real-time. Based on this, an integrated system was designed to make it easier for farmers to condition the temperature and humidity of the chrysanthemum flower soil. In temperature conditioning, if the temperature of cut chrysanthemum is detected <24 ℃ then the heater will be "on" by adjusting the fan rotation and vice versa. Meanwhile, soil moisture conditioning is carried out by distributing water if the detected soil moisture is <50%, then the water pump is in the "on" state. The data on the degree of temperature and the percent of soil moisture will be recorded into the cloud which will then be displayed in the form of graphs and history data on the webserver and Android. By using this system, it is found that the growth process of cut chrysanthemums can grow 7 days faster than the standard harvest time of 30 days.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于物联网的菊花切花温室原型温度和土壤水分调节
目前,菊花在温室内的切花栽培仍然使用传统的系统。温度和土壤湿度是影响植物生长的最重要因素。如果不调节土壤的温度和湿度,菊花的根部就会迅速腐烂,减缓菊花的生长过程。物联网是一个集成系统,其基于数据的服务器将来自传感器的数据存储在云中,以便可以远程实时监控系统。在此基础上,设计了一个综合系统,使农民更容易调节菊花土壤的温度和湿度。在温度调节中,如果检测到切花菊花的温度<24℃,则通过调节风扇旋转使加热器“开启”,反之亦然。同时对土壤水分进行调水,如果检测到土壤水分<50%,则水泵处于“开”状态。温度程度和土壤湿度百分比的数据将被记录到云中,然后以图表和历史数据的形式显示在web服务器和Android上。通过使用该系统,发现切花菊花的生长过程比标准收获时间30天快7天。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
23
审稿时长
10 weeks
期刊最新文献
Multi-oscillations Detection for Process Variables Based on K-Nearest Neighbor Interference Analysis Between 5G System and Fixed Satellite Service in the 28 GHz Band Heading control for quadruped stair climbing based on PD controller for the KRSRI competition Optimization Objective Function Corona Discharge Acoustic Using Fuzzy c-Means (FcM ) Temperature and Humidity Control System for Pole-Mounted Metering Circuit Breaker with Artificial Neural Network Methods
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1