Internet of Things (IoTs) based hydroponic lettuce farming with solar panels

Supachai Puengsungwan, K. Jirasereeamornkul
{"title":"Internet of Things (IoTs) based hydroponic lettuce farming with solar panels","authors":"Supachai Puengsungwan, K. Jirasereeamornkul","doi":"10.1109/ICPEI47862.2019.8944986","DOIUrl":null,"url":null,"abstract":"Every 1,000 kilograms of temperate lettuce produced by commercial hydroponic farming consumes 21.2 kW-Hr per crop approximately. The solar panel technologies have been considered as an alternative way to serve as a sustainable energy. However, a big problem of solar panel usage is their costliness. To get the most benefit of the solar panels, an IoT based transpiration leaf sensor has been presented as a main part for the solar panel based hydroponic system. Unlike the external factor based sensors such humidity sensors, temperature sensors, light intensity sensor, the internal factors based sensor like transpiration leaf sensor can detect and monitor the internal change of lettuce plant in real-time. According to the direct calculation, 30 set of solar panels with batteries (300 Watts and 100 A-Hr per set) would be used as the sustainable power supply for 800 square meters of a hydroponic farm. Absolutely, the cost of such the solar panels is 250% of hydroponic system cost. On the other side, the proposed IoT based technique can determine the suitable duty cycle in real-time. At the same area, the only 10 set of solar panels with batteries would be used when the proposed IoT based hydroponic system is considered.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Power, Energy and Innovations (ICPEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEI47862.2019.8944986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Every 1,000 kilograms of temperate lettuce produced by commercial hydroponic farming consumes 21.2 kW-Hr per crop approximately. The solar panel technologies have been considered as an alternative way to serve as a sustainable energy. However, a big problem of solar panel usage is their costliness. To get the most benefit of the solar panels, an IoT based transpiration leaf sensor has been presented as a main part for the solar panel based hydroponic system. Unlike the external factor based sensors such humidity sensors, temperature sensors, light intensity sensor, the internal factors based sensor like transpiration leaf sensor can detect and monitor the internal change of lettuce plant in real-time. According to the direct calculation, 30 set of solar panels with batteries (300 Watts and 100 A-Hr per set) would be used as the sustainable power supply for 800 square meters of a hydroponic farm. Absolutely, the cost of such the solar panels is 250% of hydroponic system cost. On the other side, the proposed IoT based technique can determine the suitable duty cycle in real-time. At the same area, the only 10 set of solar panels with batteries would be used when the proposed IoT based hydroponic system is considered.
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(iot)的水培生菜种植与太阳能电池板
商业化水培农业生产的每1000公斤温带生菜消耗约21.2千瓦时。太阳能电池板技术被认为是一种可持续能源的替代方式。然而,使用太阳能电池板的一个大问题是价格昂贵。为了最大限度地利用太阳能电池板,提出了一种基于物联网的蒸腾叶片传感器,作为太阳能电池板水培系统的主要组成部分。与基于外部因素的传感器如湿度传感器、温度传感器、光强传感器不同,基于内部因素的传感器如蒸腾叶片传感器可以实时检测和监测生菜植株的内部变化。根据直接计算,将使用30组带电池的太阳能电池板(每组300瓦和100 a - hr)作为800平方米水培农场的可持续电力供应。当然,这种太阳能电池板的成本是水培系统成本的250%。另一方面,所提出的基于物联网的技术可以实时确定合适的占空比。在同一区域,当考虑拟议的基于物联网的水培系统时,仅有的10组带有电池的太阳能电池板将被使用。
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
Photovoltaic Power Generation Forecast by Using Estimator Model and Kalman Filter Electrical Performance Testing of AC Motors DSP Applications for Adaptive Detection of Harmonic Current Distortions in Power System Comparative Study of Available Fuels for Boiler Selection Designing Harmonic Filters for Improving Power Factor and Quality of Synchronous Generator in Sugar Mill Plant
×
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