Automated monitoring and control system for an 80L planted aquarium. Powered by an ESP32 T-Relay, tracking water temperature, thermostat cycles, lighting schedules, and CO₂ injection.

Sistema Telemétrico IoT diseñado para mitigar la proliferación de patógenos en marquesinas de secado agrícola. Este canal almacena y visualiza las variables termo-higrométricas, incidencia lumínica y concentración de gases, transmitidas vía Wi-Fi a través

EMBEDO Harveo vs DFRobot SPV1050 | Energy harvesters comparison | Both harvesting 50mm x 50 mm PV solar cells | Panels facing the ceiling, placed in a south-facing room | Measures via INA3221 | Constant ~0.45 mW @ 3.3 V output draw on both devices

EMBEDO Harveo | Versatile energy harvester | Harvesting 65mm x 65 mm PV solar panel | Measures via INA3221 | A panel facing the ceiling, placed in a south-facing room | Constant ~0.45 mW @ 3.3 V output draw

EMBEDO Harveo | Versatile energy harvester | Harvesting 65mm x 65 mm PV solar panel | Measures via INA3221 | Indoor panel facing pure North via room window | Constant ~0.45 mW @ 3.3 V external output draw

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.

Real-time water quality monitoring system for the AMD (Acid Mine Drainage) filtration project at Huff Consolidated Elementary & Middle School, Wyoming County, West Virginia. Built by 6th-8th grade STEM students as part of the Samsung Solve for Tomor

Práctica para intercambio de información con la nube

Channel 2 for water quality - Environmental Sanitation Laboratory - University of Beira Interior for getting water quality data from online sensors.

Monitor suhu dan kelembaban dengan DHT22, Raindrop sensor, Wemos D1 mini, lokasi Curug Sangereng, Gading Serpong, kab. Tangerang

Channel 1 for water quality - Environmental Sanitation Laboratory - University of Beira Interior for getting water quality data from online sensors.

IoT-based predictive maintenance system that monitors motor health using temperature, vibration, and current sensors to predict failures before they occur.

Monitoreo de datos con actualización cada 60 segundos de un Invernadero para experimentación con diferentes hortalizas ubicado en el Centro Nacional Especializado en Electrónica INA Heredia, Costa Rica. Cuenta con techo de sarán que se cierra a los 33 gra

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).

A platform that seamlessly connects and manages smart devices for efficient data collection and automation. It ensures secure data processing while offering easy user control for everyday convenience.