Analyze and display hyper-local weather data to optimize water usage

Climate change is causing farmers to reconsider the crops they grow, but they may not be aware of what crops will work well in the new circumstances, according to the changing water availability. Awareness and education of suitable crops and their needs for a good yield will help farmers make water-friendly choices.

To provide geo-specific crop recommendations, you must be able to analyze local weather data. See how to connect an ESP8266 to Watson IoT over MQTT and stream environmental data from the sensors to IBM Cloud. Follow along with the tutorial. By the end of the workshop, you’ll be able to extract insights from the IoT sensor data using analytics.

Next, you will learn how to build a weather dashboard using a personal weather station, Node-RED, Weather Underground, The Weather Company APIs, and the node-red-contrib-twc-weather nodes. This tutorial demonstrates how to display hyper-local weather information from a residential or farming weather station. During this portion, our experts will show you how to:

  • Understand the basics of personal weather stations (PWS)
  • Connect your PWS to Weather Underground (WU) and view PWS data on WU
  • Register for a The Weather Company (TWC) API key
  • Get started with the TWC API documentation
  • Understand Node-RED (local and on IBM Cloud)
  • Explore the node-red-contrib-twc-weather Node-RED PWS node examples
  • Import and deploy the Weather Dashboard example
  • Display PWS data in your Weather Dashboard
  • Build a Severe Weather Alert Map Node-RED Dashboard using TWC APIs
  • Build a Call for Code Water Sustainability solution

Don’t forget to accept the Call for Code Global Challenge.

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