Replication data for "RFID-based Soil Moisture Sensor for Smart Agriculture: a Gaussian Mixture Model Approach"

DOI

Laboratory measurements of passive Ultra-High-Frequency (UHF) RFID (Radiofrequency Identification) tags under several test conditions. The associated publication provides more information on the test set up. All file names include a timestamp (if applicable), the used tag name (to consult the respective datasheet), the channel frequency, the distance between the antenna and the tag, the obstacle (if applicable), and the transmission power (if applicable).

METHODOLOGICAL INFORMATION

  1. Description of methods used for collection-generation of data: The complete methodology is explained and illustrated in: Nedal M. Benelmekki et al. “RFID-based Soil Moisture Sensor for Smart Agriculture: a Gaussian Mixture Model Approach”. In: Simposio Nacional de la Unión Científica Internacional de Radio, URSI 2025 (2025).

  2. Methods for processing the data: Using Zebra's Developer API, raw data was formatted into .csv files for posterior signal processing.

  3. Instrument- or software- specific information needed to interpret the data: Any .csv visualizer and/or manager can be used for the data. The custom-software built for data collection can be found in the following repository: https://github.com/Wireless-Information-Networking/RFID-Reader-FX7500/tree/main

  4. Instruments, calibration and standards information: Zebra FX7500 Fixed RFID Reader: The device in question, which will be the client. Reverse Polarity TNC cable (RF Coaxial Cable): To connect the RFID Reader to an antenna. Compatible Antenna: To use the RFID Reader. In this tutorial, the AN480 Antenna by Zebra is used. Ethernet Cable: To connect the RFID Reader to the PC. Power Supply: +24V DC power supply cable (supports 12V-48V, but 24V is recommended). PC/Laptop: Will be used as the server. The code should be executed on this computer, which should also be running a distribution of Linux. Passive UHF RFID Tags.

  5. Environmental or experimental conditions: Two environments have been used: - Indoors: Laboratory conditions, controlled at 25 degrees celcius and ambient temperature. - Outdoors: Exterior grass field, 21 degrees celsius, sunny. A sweep of different moisture levels and obstacles have been conducted. They are indicated in the filenames.

  6. Quality-assurance procedures performed on the data: Signal filtering and preprocessing has been conducted in order to capture data of interest.

Identifier
DOI https://doi.org/10.34810/data2325
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2325
Provenance
Creator Martínez Benelmekki, Nedal ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor M. Benelmekki, Nedal; Universitat Autònoma Barcelona
Publication Year 2025
Funding Reference Agencia Estatal de Investigación PID2022-139929NB-I00
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact M. Benelmekki, Nedal (Universitat Autònoma de Barcelona)
Representation
Resource Type Laboratory notebook; Dataset
Format text/tab-separated-values; text/plain; text/csv
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Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences
Spatial Coverage Barcelona, Spain