IoT DEMO: Detecting Food Spoilage with SAS ESP

[bkooman]

Food loss occurring between the farm and the market results in over 100 Billion pounds of wasted food every year. This equates to a financial loss of over $100 Billion. One cause of food spoilage is equipment malfunction during transportation, which can result in a lack of adequate climate control. Obviously, temperature and humidity can be good indicators of a potential problem with a food shipment, but with more types of sensors, such as those sensitive to different gasses, it may be possible to discover a problem before a significant amount of food is compromised.

Using a combination of inexpensive sensors and controllers, Azure IoT services, and SAS Analytics, we have developed a demonstration of how these pieces can come together to yield timely alerts for food beginning to spoil.

IoT applications almost always have both edge and cloud components: individual assets are monitored at the edge, while fleets are monitored and analytics are developed and trained in the cloud.

Key take-aways from the demonstration:

• Learn how to design a streaming model for real-time food spoilage detection
• Learn how to create an ESP model on the edge and in the cloud
• Best practices for integrating ESP on edge in in the cloud with Azure IOT Services

Click here to listen to a video overview of the demo!