IoT-Based Rainfall Monitoring System for Chili Farming Land

Rahmadani Putri, Ratna Dewi, Silfia Rifka, Sri Nita, Andi Ahmad Dahlan
{"title":"IoT-Based Rainfall Monitoring System for Chili Farming Land","authors":"Rahmadani Putri, Ratna Dewi, Silfia Rifka, Sri Nita, Andi Ahmad Dahlan","doi":"10.47709/brilliance.v3i2.3649","DOIUrl":null,"url":null,"abstract":"This research focuses on the design and implementation of a rainfall monitoring system for chili pepper farms using Internet of Things (IoT) technology. The rainfall monitoring system consists of a transmitter system, a receiver system, the Thingspeak platform as a database, and a weather station application that can be accessed via a mobile device. The weather station application is built using the MIT App Inventor platform. In the testing phase, the system successfully collected data from two sensors used, namely the rainfall intensity sensor and the raindrop sensor. The test results showed that the data obtained from the rainfall intensity sensor was 0.25 inches and the raindrop sensor was 1. This result shows that there was no rain during the test. This rain intensity and raindrop data can provide farmers with an overview of the weather conditions in the chili pepper farm. So, with this rainfall monitoring system, farmers can monitor the condition of their agricultural land in real-time. The collected data can help farmers to care for chili pepper plants more effectively and adapt to environmental changes. In addition, this system is expected to increase the productivity of chili pepper farming because it uses a more precise and responsive approach to changes in environmental conditions on the chili pepper farm.","PeriodicalId":440433,"journal":{"name":"Brilliance: Research of Artificial Intelligence","volume":"23 25","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brilliance: Research of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47709/brilliance.v3i2.3649","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

This research focuses on the design and implementation of a rainfall monitoring system for chili pepper farms using Internet of Things (IoT) technology. The rainfall monitoring system consists of a transmitter system, a receiver system, the Thingspeak platform as a database, and a weather station application that can be accessed via a mobile device. The weather station application is built using the MIT App Inventor platform. In the testing phase, the system successfully collected data from two sensors used, namely the rainfall intensity sensor and the raindrop sensor. The test results showed that the data obtained from the rainfall intensity sensor was 0.25 inches and the raindrop sensor was 1. This result shows that there was no rain during the test. This rain intensity and raindrop data can provide farmers with an overview of the weather conditions in the chili pepper farm. So, with this rainfall monitoring system, farmers can monitor the condition of their agricultural land in real-time. The collected data can help farmers to care for chili pepper plants more effectively and adapt to environmental changes. In addition, this system is expected to increase the productivity of chili pepper farming because it uses a more precise and responsive approach to changes in environmental conditions on the chili pepper farm.
基于物联网的辣椒耕地降雨监测系统
本研究的重点是利用物联网(IoT)技术为辣椒农场设计和实施降雨量监测系统。降雨量监测系统由发射器系统、接收器系统、作为数据库的 Thingspeak 平台和可通过移动设备访问的气象站应用程序组成。气象站应用程序使用麻省理工学院的 App Inventor 平台构建。在测试阶段,系统成功地收集了两个传感器的数据,即降雨强度传感器和雨滴传感器。测试结果显示,从降雨强度传感器获得的数据为 0.25 英寸,雨滴传感器获得的数据为 1。这些降雨强度和雨滴数据可以为农民提供辣椒农场的天气状况概览。因此,有了这个雨量监测系统,农民就可以实时监测农田的状况。收集到的数据可以帮助农民更有效地照料辣椒植株,适应环境变化。此外,由于该系统对辣椒种植园的环境条件变化采用了更精确、反应更迅速的方法,因此有望提高辣椒种植业的生产率。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信