Did you know SAS has bee hives? In this demo, I share how we've automated a process to capture SAS bee activity so we can understand vegetation bloom times, honey production, and overall hive health. You'll learn how we use image processing tools, robust principal component analysis, and object tracking methods implemented in SAS® Visual Data Mining and Machine Learning and SAS® Event Stream Processing.
Video highlights
00:18 - Why bees matter
02:01 - How SAS Event Stream Processing monitors bee flight patterns
05:17 - Train an RPCA model
08:43 - Fit images to RPCA model as a table
09:27 - Fit the table to RPCA model
10:37 - Download ASTORE file so SAS Event Stream Processing can use it
10:58 - See results of scoring images
Related resources
About SAS® Event Stream Processing (website)
About SAS® Visual Data Mining and Machine Learning (website)
5 ways to measure beehive health with hive-streaming data (SAS Insights article)
Noninvasive Beehive Monitoring through Acoustic Data Using SAS Event Stream Processing and SAS® Viya... (SAS Global Forum paper)
