Timeseries data of soil temperature and humidity collected from a maize field in Este, Italy, during summer 2022. The data was gathered by multiple TDR and one capacitive sensor deployed across the field. Eurac Research collected the sensor readings via Zigbee and LoRaWAN networks.
Use Cases
- Model soil moisture dynamics based on temperature and humidity sensor readings.
- Compare data collection performance between Zigbee and LoRaWAN wireless networks mentioned in the description.
- Analyze temporal patterns in soil conditions for precision agriculture applications.
- Calibrate or validate different sensor types (TDR vs. capacitive) for soil monitoring.
Strengths
- Data includes measurements from multiple sensor types (TDR and capacitive).
- Sensor data was collected via two distinct wireless network technologies (Zigbee and LoRaWAN).
- The dataset has a defined temporal scope (summer 2022) and location (Este, Italy).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Eurac Research
- Collection Method
- Data collected from soil sensors (TDR and capacitive) distributed in a field, transmitted via Zigbee and LoRaWAN networks.
- Time Range
- Summer 2022
- Geography
- Este (PD), Italy