An IoT Based Smart Hydroponics – Plant Automation BOT

Pravalika Reddy, Mohammed Sohel, Santosh Madeva Naik
{"title":"An IoT Based Smart Hydroponics – Plant Automation BOT","authors":"Pravalika Reddy, Mohammed Sohel, Santosh Madeva Naik","doi":"10.1109/ICETSIS61505.2024.10459376","DOIUrl":null,"url":null,"abstract":"Traditional Agriculture is unpredictable and very desirable. The sector has many problems like limited resources, financing, labour and land. With these problems, it becomes harder to get high yields. This is the present case in India, where the condition of farming is much better in developed western countries but even they are subjected to similar problems. Over the years, there is a need for increased output from agriculture to meet the needs of the population. Luckily, there have been alternative ways to traditional agriculture. One such different method is Hydroponics. Over the years, Hydroponics is a type of method of growing plants on less land and with fewer resources. Present hydroponics farms require some human interactions. We propose an automation solution for these Hydroponics systems. This method of farming reuses the majority of water and so saves around 90% of the water. Adding automation into the picture can help scale farms without worrying about the workforce and additionally data received.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"258 2","pages":"1203-1207"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETSIS61505.2024.10459376","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

Traditional Agriculture is unpredictable and very desirable. The sector has many problems like limited resources, financing, labour and land. With these problems, it becomes harder to get high yields. This is the present case in India, where the condition of farming is much better in developed western countries but even they are subjected to similar problems. Over the years, there is a need for increased output from agriculture to meet the needs of the population. Luckily, there have been alternative ways to traditional agriculture. One such different method is Hydroponics. Over the years, Hydroponics is a type of method of growing plants on less land and with fewer resources. Present hydroponics farms require some human interactions. We propose an automation solution for these Hydroponics systems. This method of farming reuses the majority of water and so saves around 90% of the water. Adding automation into the picture can help scale farms without worrying about the workforce and additionally data received.
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
基于物联网的智能水培 - 植物自动化 BOT
传统农业是不可预测的,也是非常理想的。该行业存在许多问题,如资源、资金、劳动力和土地有限。有了这些问题,获得高产就变得更加困难。印度目前的情况就是如此,西方发达国家的农业条件要好得多,但即使是这些国家也面临着类似的问题。多年来,人们需要提高农业产量以满足人口需求。幸运的是,已经有了替代传统农业的方法。其中一种不同的方法就是水耕法。多年来,水培法是一种在较少土地和资源上种植植物的方法。目前的水培农场需要一些人工互动。我们为这些水培系统提出了一种自动化解决方案。这种耕作方法可以重复利用大部分水,因此可以节约大约 90% 的水。加入自动化技术可以帮助扩大农场规模,而无需担心劳动力问题和额外的数据接收问题。
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
0
期刊最新文献
Other reviewers Bean Leaf Lesions Image Classification: A Robust Ensemble Deep Learning Approach MTU Analyzing for Data Centers Interconnected Using VxLAN AFAR-YOLO: An Adaptive YOLO Object Detection Framework A Decision Support Framework for Sustainable Waste Disposal Technology Selection
×
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