{"title":"基于物联网的智能粮食仓库","authors":"N. Nagrale, Vishakha L Bansod, A. Deshmukh","doi":"10.1109/PCEMS58491.2023.10136049","DOIUrl":null,"url":null,"abstract":"Because 70% of India’s population is involved in agriculture, the shortage of grains has a severe influence on the economy of the nation. Due to the fact that grains are the main source of food and the foundation for many basic foods, they are essential to all area of a person’s life. As a result, the cultivation and storage of grains are crucial to the economic and social wellbeing of the country. It is a severe problem that food waste occurs primarily during the operations of harvesting, processing, distributing, and retailing. In order to reduce food waste, a good storage method must be employed to safeguard the food grains. This is made possible by IOT-based automation, which continuously tracks and monitors food grains kept in storage warehouses. Temperature, humidity, and CO2 concentration are significant atmospheric elements that might impact the quality of stored grains in go-downs and warehouses during grain storage. This technical paper describes the creation of a smart grain storage system that uses ultrasonic mouse repellent to control rodent while also monitoring air conditions.","PeriodicalId":330870,"journal":{"name":"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Iot Based Smart Food Grain Warehouse\",\"authors\":\"N. Nagrale, Vishakha L Bansod, A. Deshmukh\",\"doi\":\"10.1109/PCEMS58491.2023.10136049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Because 70% of India’s population is involved in agriculture, the shortage of grains has a severe influence on the economy of the nation. Due to the fact that grains are the main source of food and the foundation for many basic foods, they are essential to all area of a person’s life. As a result, the cultivation and storage of grains are crucial to the economic and social wellbeing of the country. It is a severe problem that food waste occurs primarily during the operations of harvesting, processing, distributing, and retailing. In order to reduce food waste, a good storage method must be employed to safeguard the food grains. This is made possible by IOT-based automation, which continuously tracks and monitors food grains kept in storage warehouses. Temperature, humidity, and CO2 concentration are significant atmospheric elements that might impact the quality of stored grains in go-downs and warehouses during grain storage. This technical paper describes the creation of a smart grain storage system that uses ultrasonic mouse repellent to control rodent while also monitoring air conditions.\",\"PeriodicalId\":330870,\"journal\":{\"name\":\"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCEMS58491.2023.10136049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCEMS58491.2023.10136049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由于印度70%的人口从事农业,粮食短缺对国家经济产生了严重影响。由于谷物是食物的主要来源和许多基本食物的基础,它们对一个人生活的各个方面都是必不可少的。因此,粮食的种植和储存对国家的经济和社会福祉至关重要。食物浪费是一个严重的问题,主要发生在收获、加工、分发和零售的操作过程中。为了减少食物浪费,必须采用一种好的储存方法来保护粮食。这是通过基于物联网的自动化实现的,它可以持续跟踪和监控储存在仓库中的粮食。在粮食贮藏过程中,温度、湿度和CO2浓度是影响道场和仓库中储存粮食质量的重要大气要素。这篇技术论文描述了一种智能谷物储存系统的创建,该系统使用超声波驱鼠剂来控制啮齿动物,同时还监测空气条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Iot Based Smart Food Grain Warehouse
Because 70% of India’s population is involved in agriculture, the shortage of grains has a severe influence on the economy of the nation. Due to the fact that grains are the main source of food and the foundation for many basic foods, they are essential to all area of a person’s life. As a result, the cultivation and storage of grains are crucial to the economic and social wellbeing of the country. It is a severe problem that food waste occurs primarily during the operations of harvesting, processing, distributing, and retailing. In order to reduce food waste, a good storage method must be employed to safeguard the food grains. This is made possible by IOT-based automation, which continuously tracks and monitors food grains kept in storage warehouses. Temperature, humidity, and CO2 concentration are significant atmospheric elements that might impact the quality of stored grains in go-downs and warehouses during grain storage. This technical paper describes the creation of a smart grain storage system that uses ultrasonic mouse repellent to control rodent while also monitoring air conditions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Interactive Zira Voice Assistant- A Personalized Desktop Application Gait-Face Based Human Recognition From Distant Video Survey on Diverse Image Inpainting using Diffusion Models Survey, Analysis and Association Rules derivation using Apriori Method for buying preference amongst kids of age-group 5 to 9 in India Implementing Chaos Based Optimisations on Neural Networks for Predictions of Distributed Denial-of-Service (DDoS) Attacks
×
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