Narrabri Farm IoT Sensor Node Data for Evapotranspiration
366 daily rows with 13 columns from the Narrabri Node-4 workbook, including weather and soil measurements at 20, 40 and 60 cm.
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366 daily rows with 13 columns from the Narrabri Node-4 workbook, including weather and soil measurements at 20, 40 and 60 cm.
View Dataset5,235 rows and 10 columns of jute environmental measurements and cultivation context from Dhaka; the released table has no observation timestamp.
View DatasetCurated 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.
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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