Public Channels for Tag: thingspeak
Canal público del proyecto Paraíso Verde. Monitorea variables de un sistema de riego inteligente con IoT, ESP32, sensores ambientales y caudal, orientado al uso eficiente del agua y al aprendizaje STEM.
This channel logs the real-time status of a traffic light module (Red, Yellow, Green) connected to NodeMCU ESP8266. Each field represents whether a light is ON (1) or OFF (0).
I m creating channel for IOT project which my teacher assigned to me
Monitoreo de variables ambientales y estado de un robot móvil con ESP32 (temperatura, humedad, gas, distancia, modo y alertas).
This ThingSpeak channel collects and visualizes real-time light intensity data from an LDR (Light Dependent Resistor) sensor simulated in Wokwi. The system monitors ambient light levels and sends sensor values to the cloud for live analytics, graph plotti
A real-time monitoring system for library room temperature and noise level using ESP32, DHT11 sensors, microphones, LCD displays, LEDs, buzzers, and ThingSpeak. Field 1: Room 1 Temperature
An advanced IoT system for smart agriculture monitoring. This project integrates ESP32-based multi-sensor nodes with cloud analytics and XGBoost-based AI forecasting to optimize irrigation and crop health.
A scaled-down Mars Rover prototype can effectively collect temperature and humidity data, demonstrating how real-time environmental monitoring can be used for autonomous navigation, climate analysis, and anomaly detection.
O Compostech é um sistema de monitoramento de ar robusto baseado em ESP32, projetado para fornecer uma análise detalhada da qualidade do ar em ambientes internos, com especial foco na composição atmosférica e na presença de poluentes.
This IoT-based Smart Irrigation System monitors soil moisture, humidity, temperature, and rain conditions using Arduino and ESP8266. It automatically waters plants when soil is dry and no rain is detected. Data is updated every 20 seconds.
Canal que muestra el estado de la puerta y los puestos del parqueadero, integrando sensores ultrasónicos, LEDs y servomotor, con envío de datos desde ESP32 a la nube mediante MQTT.
This channel collects and visualizes light intensity data from an LDR sensor connected to an ESP32 microcontroller using the ThingSpeak IoT platform.
This channel logs real-time environmental data using an ESP32 microcontroller with GY-8511 UV sensor, AM2320 temperature & humidity sensor, and a 16x2 LCD display. It also includes a buzzer alert for high UV levels. Data is uploaded every 20 seconds.