🌱 Automated Hydroponics (a method of growing plants without soil) using Arduino Mega.

Smogly(formerly: Smogomierz) - simple and cheap PM 2.5 and PM10 sensor based on NodeMCU (ESP8266) or ESP32

Arduino Sketches that use ThingSpeak Web Services and API

Examples with connection to eduroam powered university networks around the world and then to IoT services or self-hosted websites..

air quality sensor based on ESP32

ESP8266 / NodeMCU Examples for https://ThingSpeak.com

Notes & HowTo's covering the Raspberry Pi, Arduino, ESP8266, ESP32, etc.

DIY Air Quality Monitor

IoT Geiger Counter with ESP32, OLED Display, Thingspeak Channel and MQTT

CheerLights is an “Internet of Things” project created by Hans Scharler that allows people’s lights all across the world to synchronize to one color set by Twitter. This is a way to connect physical things with social networking experiences and spread cheer at the same time. We are all connected.

In this project we have designed IoT Based Patient Health Monitoring System using ESP8266 & Arduino. The IoT platform used in this project is Ubidots (or ThingSpeak in old version).

Client library for the thingspeak.com API

Publish and Subscribe to Thingspeak using MQTT with Micropython

Multichannel display reading from Thingspeak.com visualizing using Highcharts.

Use this simple web-based tool to see data stored in an Internet of Things data service such as ThingSpeak

ESP8266 wifi enabled dual temperature probe device to monitor bbq meat / pit temperatures with wireless cloud data logging for remote monitoring and push alert notifications

This decodes Alarm System Contact ID protocol using a Arduino Leonardo the sends SMS using an ESP8266 via ThingSpeak and Twillio

Particle Photon based 12v car battery monitor. Useful for alerting you that the battery is becoming discharged.

Documentation and firmware for the SparkFun DataLogger IoT line of products.

A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting crop based on those parameters using machine learning. The system also predicts the yield of the crop.