Semantic-Aware IoT Dataset for Smart Farming
This dataset focuses on semantic data modeling for smart farming, providing environmental logs and network metrics to optimize communication efficiency in large-scale IoT networks.
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This dataset focuses on semantic data modeling for smart farming, providing environmental logs and network metrics to optimize communication efficiency in large-scale IoT networks.
View DatasetAI-IoT-based Smart Drip Irrigation System (SDIS) dataset specifically designed for rice plants considering local agronomic characteristics, featuring soil moisture, weather data, and irrigation control decisions for precision agriculture.
View DatasetReal-time sensor data for automated underground drip irrigation of tomato crops, including soil moisture, NPK (N, P, K), temperature, humidity, pressure, wind speed, and solar radiation collected via Edge IoT.[page:2][web:238]
View DatasetField 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]
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