Soil moisture sensing with commodity RFID systems

Ju Wang, Liqiong Chang, S. Aggarwal, Omid Salehi-Abari, Srinivasan Keshav
{"title":"Soil moisture sensing with commodity RFID systems","authors":"Ju Wang, Liqiong Chang, S. Aggarwal, Omid Salehi-Abari, Srinivasan Keshav","doi":"10.1145/3386901.3388940","DOIUrl":null,"url":null,"abstract":"Intelligent irrigation based on measurements of soil moisture levels in every pot in a greenhouse can not only improve plant productivity and quality but also save water. However, existing soil moisture sensors are too expensive to deploy in every pot. We therefore introduce GreenTag, a low-cost RFID-based soil moisture sensing system whose accuracy is comparable to that of an expensive soil moisture sensor. Our key idea is to attach two RFID tags to a plant's container so that changes in soil moisture content are reflected in their Differential Minimum Response Threshold (DMRT) metric at the reader. We show that a low-pass filtered DMRT metric is robust to changes both in the RF environment (e.g., from human movement) and in pot locations. In a realistic setting, GreenTag achieves a 90-percentile moisture estimation errors of 5%, which is comparable to the 4% errors using expensive soil moisture sensors. Moreover, this accuracy is maintained despite changes in the RF environment and container locations. We also show the effectiveness of GreenTag in a real greenhouse.","PeriodicalId":345029,"journal":{"name":"Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"59","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386901.3388940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 59

Abstract

Intelligent irrigation based on measurements of soil moisture levels in every pot in a greenhouse can not only improve plant productivity and quality but also save water. However, existing soil moisture sensors are too expensive to deploy in every pot. We therefore introduce GreenTag, a low-cost RFID-based soil moisture sensing system whose accuracy is comparable to that of an expensive soil moisture sensor. Our key idea is to attach two RFID tags to a plant's container so that changes in soil moisture content are reflected in their Differential Minimum Response Threshold (DMRT) metric at the reader. We show that a low-pass filtered DMRT metric is robust to changes both in the RF environment (e.g., from human movement) and in pot locations. In a realistic setting, GreenTag achieves a 90-percentile moisture estimation errors of 5%, which is comparable to the 4% errors using expensive soil moisture sensors. Moreover, this accuracy is maintained despite changes in the RF environment and container locations. We also show the effectiveness of GreenTag in a real greenhouse.
土壤湿度传感与商品RFID系统
基于测量温室中每个花盆土壤水分水平的智能灌溉不仅可以提高植物的生产力和质量,还可以节约用水。然而,现有的土壤湿度传感器过于昂贵,无法在每个花盆中部署。因此,我们引入了GreenTag,这是一种低成本的基于rfid的土壤湿度传感系统,其精度与昂贵的土壤湿度传感器相当。我们的关键思想是将两个RFID标签附加到植物的容器上,以便土壤含水量的变化在读取器上反映在其差分最小响应阈值(DMRT)度量中。我们表明,低通滤波DMRT度量对RF环境(例如,来自人体运动)和锅位置的变化都具有鲁棒性。在现实环境中,GreenTag实现了90%的湿度估计误差为5%,而使用昂贵的土壤湿度传感器的误差为4%。此外,尽管射频环境和容器位置发生了变化,这种精度仍然保持不变。我们还在一个真实的温室中展示了GreenTag的有效性。
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