Litcius/Paper detail

Soil moisture sensing with commodity RFID systems

Ju Wang, Liqiong Chang, Shourya Aggarwal, Omid Abari, Srinivasan Keshav

2020110 citationsDOI

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.

Topics & Concepts

Water contentGreenhouseEnvironmental scienceMoistureAgricultural engineeringMetric (unit)IrrigationComputer scienceReal-time computingRemote sensingSoil scienceEngineeringAgronomyMeteorologyGeotechnical engineeringGeologyBiologyPhysicsOperations managementSoil Moisture and Remote SensingIrrigation Practices and Water ManagementIndoor and Outdoor Localization Technologies