Projects per year
Description
The GROW Observatory collected data from across Europe using low cost soil sensors to collect data about the soil and growing conditions. Across 24 GROW places, in 13 Countries, 6,500 Flower Power sensors were deployed following a scientifically validated protocol to collect time series data from November 2017 to October 2019. Participants included community groups, land managers, small and family farms, science and educational institutes with access to land including vineyards, agro-forestry, and food growing. Data were collected every 15 minutes by the sensor and uploaded by the participants using mobile phones, sending the data to the GROW servers. Please see www.growobservatory.org for further details.
Data in the time series was:
Soil Moisture (%)
Temperature (C)
Light Level (Lumens)
In addition the following metadata was collected:
Latitude and Longitude of the Sensor
Name of the Sensor
Date of Observation
Data Format and Size
Size: 22GB
Format: CSV file
GrowLocations.csv Data about the sensor locations
GrowTimeSeries.csv The time series data. Data is linked via the serial number of the sensors.
This data is made available under a CC-BY 4.0 licence
https://creativecommons.org/licenses/by/4.0/
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 690199
Keywords: Soil Moisture, Time Series, GeoLocation, Consumer Sensor, Scale.
Data in the time series was:
Soil Moisture (%)
Temperature (C)
Light Level (Lumens)
In addition the following metadata was collected:
Latitude and Longitude of the Sensor
Name of the Sensor
Date of Observation
Data Format and Size
Size: 22GB
Format: CSV file
GrowLocations.csv Data about the sensor locations
GrowTimeSeries.csv The time series data. Data is linked via the serial number of the sensors.
This data is made available under a CC-BY 4.0 licence
https://creativecommons.org/licenses/by/4.0/
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 690199
Keywords: Soil Moisture, Time Series, GeoLocation, Consumer Sensor, Scale.
Date made available | May 2020 |
---|---|
Publisher | University of Dundee |
Date of data production | Nov 2016 - Oct 2019 |
Projects
- 1 Finished
-
The GROW Observatory (Joint with 17 other Institutions)
Cobley, A. (Investigator), Hemment, D. (Investigator), Rowan, J. (Investigator), Taylor, N. (Investigator) & Woods, M. (Investigator)
COMMISSION OF THE EUROPEAN COMMUNITIES
1/11/16 → 1/11/19
Project: Research
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Citizen science supporting agricultural monitoring with hundreds of low-cost sensors in comparison to remote sensing data
Corbari, C. (Lead / Corresponding author), Paciolla, N., Ben Charfi, I., Skokovic, D., Sobrino, J. A. & Woods, M., 13 Jun 2022, (E-pub ahead of print) In: European Journal of Remote Sensing. 55, 1, p. 388-408 21 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus)135 Downloads (Pure) -
-
Experiences Using SOS for Citizen Science Interoperability
Masó , J., Prat, E. & Cobley, A., 2 Sept 2019.Research output: Contribution to conference › Paper › peer-review
Prizes
-
Land and Soil Management Award
Ajates Gonzalez, R. (Recipient), Woods, M. (Recipient), Cobley, A. (Recipient) & Hemment, D. (Recipient), 2019
Prize: Prize (including medals and awards)
Activities
- 2 Invited talk
-
Overview of the GROW Observatory
Woods, M. (Speaker)
16 Nov 2023Activity: Talk or presentation types › Invited talk
-
GROW Observatory
Woods, M. (Speaker) & Crowe, S. (Speaker)
6 Aug 2022Activity: Talk or presentation types › Invited talk
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