IoT-Based Real-Time Crop Drying and Storage Monitoring System

IF 2.3 4区 计算机科学 Q1 Engineering
Ishimwe Viviane, Emmanuel Masabo, Habiyaremye Joseph, Mitsindo Rene, Elias Bizuru
{"title":"IoT-Based Real-Time Crop Drying and Storage Monitoring System","authors":"Ishimwe Viviane, Emmanuel Masabo, Habiyaremye Joseph, Mitsindo Rene, Elias Bizuru","doi":"10.1155/2023/4803000","DOIUrl":null,"url":null,"abstract":"Maize flour obtained from the dried corn is one of the most consumed foods in Rwanda. It is imperative that this should be healthy and risk-free for a safe consumption. Therefore, it is vital to keep track of the environmental conditions during the drying process and the characteristics that exist inside maize storage containers. In Rwanda, traditional methods are most commonly used by maize farmers for drying and storage purposes, where no smart system is being used to monitor the environmental conditions under which the maize grains are dried and stored. This mostly affects the quality of maize and flour being produced which will finally affect food security. In this research, temperature, humidity, and light sensors are deployed in the grain storage containers for environmental parameter detection purposes to achieve the primary goal of providing practical, secure, and easily accessible storage in inclement weather. Temperature and humidity are two factors that have an impact on grain quality while in storage. The ThingSpeak platform has been used to help farmers monitor the drying and storing conditions of the maize on a real-time basis. A global system for mobile (GSM) communication module is used to notify farmers by sending a short message in case of critical drying or storing environmental parameters under which the maize grains are stored. The result is shown in the form of humidity, temperature, and light graphs which are displayed on the ThingSpeak platform in real-time mode.","PeriodicalId":54327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":"28 1","pages":"0"},"PeriodicalIF":2.3000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Distributed Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2023/4803000","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

Maize flour obtained from the dried corn is one of the most consumed foods in Rwanda. It is imperative that this should be healthy and risk-free for a safe consumption. Therefore, it is vital to keep track of the environmental conditions during the drying process and the characteristics that exist inside maize storage containers. In Rwanda, traditional methods are most commonly used by maize farmers for drying and storage purposes, where no smart system is being used to monitor the environmental conditions under which the maize grains are dried and stored. This mostly affects the quality of maize and flour being produced which will finally affect food security. In this research, temperature, humidity, and light sensors are deployed in the grain storage containers for environmental parameter detection purposes to achieve the primary goal of providing practical, secure, and easily accessible storage in inclement weather. Temperature and humidity are two factors that have an impact on grain quality while in storage. The ThingSpeak platform has been used to help farmers monitor the drying and storing conditions of the maize on a real-time basis. A global system for mobile (GSM) communication module is used to notify farmers by sending a short message in case of critical drying or storing environmental parameters under which the maize grains are stored. The result is shown in the form of humidity, temperature, and light graphs which are displayed on the ThingSpeak platform in real-time mode.
基于物联网的作物干燥储存实时监控系统
从干玉米中提取的玉米粉是卢旺达消费最多的食物之一。这必须是健康和无风险的安全消费。因此,跟踪干燥过程中的环境条件和玉米储存容器内存在的特征是至关重要的。在卢旺达,种植玉米的农民最常使用传统方法进行干燥和储存,那里没有使用智能系统来监测玉米谷物干燥和储存的环境条件。这主要影响正在生产的玉米和面粉的质量,最终将影响粮食安全。本研究通过在储粮容器中部署温度、湿度、光传感器进行环境参数检测,以实现在恶劣天气条件下提供实用、安全、便捷的储粮。在贮藏过程中,温度和湿度是影响粮食品质的两个因素。ThingSpeak平台已被用于帮助农民实时监控玉米的干燥和储存条件。一个全球移动通信系统(GSM)模块用于在玉米谷物储存的关键干燥或储存环境参数的情况下通过发送短消息通知农民。结果以湿度、温度和光图形的形式显示,并实时显示在ThingSpeak平台上。
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
International Journal of Distributed Sensor Networks
International Journal of Distributed Sensor Networks Computer Science-Computer Networks and Communications
CiteScore
6.00
自引率
4.30%
发文量
94
审稿时长
11 weeks
期刊介绍: International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
×
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