SoilTAG: Fine-Grained Soil Moisture Sensing Through Chipless Tags

含水量 水分 遥感 计算机科学 环境科学 土壤科学 气象学 工程类 地质学 岩土工程 物理
作者
Wenli Jiao,Ju Wang,Yelu He,Xiangdong Xi,Fuwei Wang
出处
期刊:IEEE Transactions on Mobile Computing [Institute of Electrical and Electronics Engineers]
卷期号:23 (3): 2153-2170 被引量:3
标识
DOI:10.1109/tmc.2023.3253135
摘要

Soil moisture sensing plays an important role in agriculture, especially in greenhouses or vertical farms. However, existing soil moisture sensing systems are either expensive and require batteries or suffer from low accuracy, preventing their real-world applications. This paper introduces SoilTAG, a battery-free, chipless tag-based high accuracy soil moisture sensing system. The key insight is that the tag's resonator can convert changes in soil moisture levels into changes in the tag's frequency response. However, two challenges need to be addressed before applying the system to the real world. First, how to design a resonator whose frequency response is sensitive to even small moisture changes, which is the basis for high-precision moisture sensing. To solve the challenge, we design a special structure (i.e., a defected ground structure) as the tag's resonator and optimize its key parameters to increase the frequency response sensitivity for different soil moisture levels. Second, how to design a robust soil moisture feature that is independent of the tag's location changes, since the frequency response varies by both the tag location and soil moisture. To deal with this challenge, we introduce a relative frequency response feature whose amplitude ratio is only related to soil moisture levels and independent of the tag location changes. Extensive experiments show that SoilTAG achieves $90th$ percentile moisture sensing error of $2\%$ , $3.64\%$ , and $8\%$ when the distance between transmitter and tag is 6 m, 10 m, and 13.9 m. Compared to current commodity sensors, SoilTAG saves the cost per sensor by more than 70%.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
weirdo完成签到,获得积分10
2秒前
天天快乐应助MoonYC采纳,获得30
3秒前
zycdx3906发布了新的文献求助10
4秒前
4秒前
4秒前
4秒前
5秒前
5秒前
bingbingsha完成签到 ,获得积分20
5秒前
上官若男应助田小姐采纳,获得10
6秒前
6秒前
ll2925203发布了新的文献求助10
7秒前
8秒前
沧海一笑发布了新的文献求助10
9秒前
9秒前
猪梨咙咚呛完成签到,获得积分20
9秒前
fun完成签到,获得积分10
10秒前
zqg发布了新的文献求助50
10秒前
andrele发布了新的文献求助10
10秒前
weirdo发布了新的文献求助10
11秒前
领导范儿应助小鱼仔采纳,获得10
13秒前
嘻嘻尼88发布了新的文献求助10
13秒前
13秒前
GEE完成签到,获得积分20
13秒前
13秒前
追寻飞风完成签到,获得积分10
14秒前
Idiot童鞋发布了新的文献求助10
15秒前
毛豆应助自由水彤采纳,获得10
16秒前
16秒前
16秒前
16秒前
斯文败类应助奋斗寄风采纳,获得10
16秒前
16秒前
epmoct完成签到 ,获得积分10
18秒前
19秒前
shezhinicheng完成签到 ,获得积分10
19秒前
fay完成签到,获得积分10
19秒前
英俊的铭应助内向的青荷采纳,获得10
21秒前
高分求助中
Востребованный временем 2500
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
Mantids of the euro-mediterranean area 600
The Oxford Handbook of Educational Psychology 600
Injection and Compression Molding Fundamentals 500
Mantodea of the World: Species Catalog Andrew M 500
Insecta 2. Blattodea, Mantodea, Isoptera, Grylloblattodea, Phasmatodea, Dermaptera and Embioptera 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 物理 纳米技术 计算机科学 基因 遗传学 化学工程 复合材料 免疫学 物理化学 细胞生物学 催化作用 病理
热门帖子
关注 科研通微信公众号,转发送积分 3422236
求助须知:如何正确求助?哪些是违规求助? 3022621
关于积分的说明 8901656
捐赠科研通 2710004
什么是DOI,文献DOI怎么找? 1486265
科研通“疑难数据库(出版商)”最低求助积分说明 686979
邀请新用户注册赠送积分活动 682186