Name
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.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3386901.3388940 | MobiSys '20: The 18th Annual International Conference on Mobile Systems, Applications, and Services
Toronto
Ontario
Canada
June, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7954-0 | 5 |
PageRank | References | Authors |
0.42 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ju Wang | 1 | 151 | 15.56 |
| Liqiong Chang | 2 | 9 | 1.84 |
| Shourya Aggarwal | 3 | 5 | 0.42 |
| Omid Abari | 4 | 193 | 17.94 |
| Srinivasan Keshav | 5 | 3778 | 761.32 |