IoT DEMO: Detecting Food Spoilage with SAS ESP

bkooman — Fri, 22 Jul 2022 19:55:35 GMT

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!

topic IoT DEMO: Detecting Food Spoilage with SAS ESP in Streaming Analytics

IoT DEMO: Detecting Food Spoilage with SAS ESP