The turf roof sensor node (Device HW_ID 1) measures air temperature, humidity, soil moisture, soil temperature, and battery level. For remote monitoring and continuous tracking of turf roof conditions and device health.

The turf roof sensor node (Device HW_ID 3) measures air temperature, humidity, soil moisture, soil temperature, and battery level. For remote monitoring and continuous tracking of turf roof conditions and device health.

The turf roof sensor node (Device HW_ID 5) measures air temperature, humidity, soil moisture, soil temperature, and battery level. For remote monitoring and continuous tracking of turf roof conditions and device health.

This channel measures temperature and humidity using a DHT11 sensor connected to NodeMcu.

This channel contains the irradiance measures of the six solar cells of the TFG project made by Adrián Rodríguez plus the average.

This channel contains the irradiance measures of the six solar cells of the TFG project made by Adrián Rodríguez plus the average.

LoRaWAN-based IoT project for real-time environmental data collection including temperature, humidity, motion, and battery status. Data is sent via TTN and visualized on ThingSpeak

This channel monitors indoor air quality using an MQ-135 sensor and NodeMCU ESP8266. It measures gas concentrations (CO₂, NH₃, ethanol, benzene, smoke, etc.) and sends real-time PPM readings to ThingSpeak for visualization and analysis. The system include

IoT system using ESP32 + DHT11 + Soil + Light + Water level sensors. Sends data to dashboard + WhatsApp alerts.

Uploads temperature and humidity from NodeMCU

人流密度分析

ESP32-based IoT monitoring for medicine storage conditions using DHT11 and SW-420 sensors

This channel collects sensor data (Battery voltage, Humidity, Motion counts, and Temperature) from an LHT65N IoT device connected via The Things Network (TTN). Data is streamed through MQTT and stored here for real-time visualization, analysis, and machin

This channel is designed for real-time monitoring and predictive maintenance of transformers using IoT and AI concepts. The system uses an ESP32 microcontroller connected with multiple sensors to measure key transformer health parameters such as temperatu

ESP32 Smart Dustbin data (Distance, Fill %, Status)