IoT for Beginners with IoTNVR and Microsoft

IoT for Beginners with IoTNVR and Microsoft

saki shao

IoT for Beginners with IoTNVR and Microsoft

Learn the basics of the Internet of Things with this free 12-week, 24-lesson curriculum from the Microsoft Cloud Advocates. Build prototypes of real-world IoT projects as you learn all about IoT whilst following the journey of food from farm to table.

Start your IoT Journey with this free 12-week and 24-lesson curriculum.

Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about IoT basics. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more.

The projects cover the journey of food from farm to table. This includes farming, logistics, manufacturing, retail and consumer - all popular industry areas for IoT devices.

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Smart Farming Monitoring Starter Kit



Using a light sensor for lightness detection
Smart Farming Monitoring Starter Kit


Using a soil moisture sensor for soil status monitoring
Smart Farming Monitoring Starter Kit
Using a ambient temperature and humidity Sensor for environmental monitoring
Smart Farming Monitoring Starter Kit
Using a LoRaWAN Gateway with 2 digital input and 2 relay output interfaces
Smart Farming Monitoring Starter Kit

Smart Farming Monitoring Starter Kit

To meet the need for smart agriculture, we released a LoRaWAN® Agricultural Monitoring Node-to-App Starter Kit. It aims to simplify the process of remote monitoring, build a data-driven and insightful farming strategy and help farmers earn more money.

We offers whole solutions including several agriculture sensors: ambient temperature and humidity sensor, soil electrical conductivity, temperature and moisture sensor, light sensor; LoRaWAN® gateway which can cover the whole farm and connect to hundreds of sensors; LoRaWAN® controller which uses relay output to control equipment such as pump and fan; and the IoT Cloud which is forever free to use.

Start your IoT journey

in an easier, faster and more predictable way from here