Soil Moisture, Air Temperature, Humidity, and Motor On/Off Monitoring Data (Smart Irrigation IoT)
Abstract
"Field data from an automated irrigation setup using capacitive soil moisture sensors and DHT‑11 air sensors, recording soil moisture, air temperature, humidity, and pump on/off status for smart irrigation control.[web:156]"
Description
Overview
The Soil Moisture, Air Temperature, Humidity, and Motor On/Off Monitoring dataset was collected from an automated irrigation system that uses IoT sensors to decide when to irrigate crops.[web:156]
Data Collection
- Measurements were obtained from capacitive soil moisture sensors and DHT‑11 air temperature/humidity sensors deployed in an irrigation setup.[web:156]
- The data are intended to support training and evaluation of automated irrigation methods that conserve water and avoid over‑irrigation.[web:156]
- Records include soil moisture, air temperature, air humidity, and the corresponding water pump (motor) on/off status over time.[web:156]
Features
- Soil moisture readings used as the primary control signal for irrigation.[web:156]
- Air temperature and humidity measurements to characterize environmental conditions during irrigation cycles.[web:156]
- Motor on/off state indicating when the irrigation pump is activated or deactivated based on soil moisture thresholds.[web:156]
Use Cases
- Designing and evaluating smart irrigation decision algorithms for precision agriculture.[web:156]
- Developing predictive models for soil moisture dynamics and pump control using IoT sensor data.[web:156]
- Teaching and benchmarking basic ML workflows for agricultural IoT.[web:156]
License
The dataset is hosted on Mendeley Data with DOI 10.17632/fpdwmm7nrb.1; users should consult the license and reuse terms stated on the Mendeley dataset page before using the data.[web:156]
📊 View Data Structure
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Cite This Dataset
Kaur, Amritpal, Bhatt, Devershi Pallavi, & Raja, Linesh (2023). Soil Moisture, Air Temperature, Humidity, and Motor On/Off Monitoring Data (Smart Irrigation IoT). [Dataset]. Mendeley Data. https://doi.org/10.17632/fpdwmm7nrb.1
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Original source: Mendeley Data (2023). Visit official page for more details.
Indexed by IoTDataset.com on Jan 28, 2026
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