Appalachian State Multipurpose Apiary Informatics Systems
AppMAIS is an interdisciplinary project that aims to investigate the health, development and genomic diversity of honey bee hives in North Carolina to better understand and optimally prevent the honey bee colony collapse disorder (CCD).
How does this project work?
The project utilizes a Thingsboard IoT platform and the App State designed and built “Beemon” system that acquires and delivers hive data (audio/video recordings, humidity/temperature, and weight) to our dedicated server for further analysis.
How many hives are active?
Overall we have 30 hives. Currently, the Live Stream tab provides near-live one minute video streams of 24 hives at 12 locations and the Archive tab provides videos older than six minutes from the current time for these hives.
What type of technologies are being used and who is using them?
We are utilizing machine learning and bioinformatics tools to answer key questions on hive health, development, and genomic diversity. The project provides significant training opportunities for faculty, students, and beekeepers.
Dr. Jennifer W Weller, UNCC, Biochemistry, Co-PI
Dr. Mitch Parry, ASU, Computer Science, Co-PI
Dr. Abdelbaset Hamza, ASU, Computer Science, Co-PI
Dr. Tinghao Feng, Computer Science, ASU, Co-PI
Dr. Clare Scott Chialvo, Biology, ASU, Co-PI