Bangladesh IoT Environmental Dataset (BIED) - Smart Agriculture & Climate Research
Catalog Summary
"Curated collection of 10,000+ realistic IoT sensor readings from Bangladesh representing diverse environmental conditions including temperature, humidity, soil moisture, rainfall, and air quality with timestamps and location tags for smart agriculture and climate research."
Catalog Notes
Overview
The Bangladesh IoT Environmental Dataset (BIED) published on Mendeley Data in November 2025 provides a comprehensive collection of environmental sensor measurements specifically designed for IoT system development and machine learning research in South Asian contexts.
Data Collection
- Over 10,000 sensor records collected from IoT devices deployed across multiple regions in Bangladesh.
- Data represents diverse environmental conditions typical of coastal and agricultural zones in South Asia.
- CSV format with timestamps and location tags enabling spatio-temporal analysis.
- Customizable dataset size for specific research needs and computational constraints.
Measured Parameters
- Temperature: Ambient air temperature measurements in degrees Celsius.
- Humidity: Relative humidity percentages for atmospheric moisture monitoring.
- Soil Moisture: Soil water content measurements critical for agricultural applications.
- Rainfall: Precipitation data for irrigation planning and flood prediction.
- Air Quality: Pollutant concentration measurements for urban and rural environmental monitoring.
Potential Applications
- Smart Agriculture: Predicting soil moisture levels and rainfall patterns for optimized irrigation planning and crop management.
- Smart City Systems: Modeling urban air quality trends and implementing temperature control strategies.
- Climate Research: Analyzing coastal zone environmental trends and developing early warning systems for extreme weather events.
- Anomaly Detection: Identifying faulty sensor behaviors and data quality issues in distributed IoT systems.
- AI & TinyML Training: Building and deploying embedded machine learning models for resource-constrained edge devices.
- IoT Platform Testing: Validating IoT dashboards, edge computing architectures, and cloud integration pipelines.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.
Preview on KaggleCite This Dataset
Hasan, Md Mehedi, & Rashid, Maria (2025). Bangladesh IoT Environmental Dataset (BIED). [Dataset]. Mendeley Data. https://doi.org/10.17632/956gt333hk.2
Source metadata: Mendeley Data (2025) · DOI: 10.17632/956gt333hk.2
Indexed by IoTDataset.com on Jan 31, 2026
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