Tuesday, August 29, 2017

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Buzzin' in Beantown

August 28, 2017 - The Hive Tracks team recently traveled to Boston, Massachusetts to attend Americas Conference on Information Systems (AMCIS) 2017, while stopping by their local beekeeping friends at Follow the Honey.

The annual AMCIS meeting brings together more than 1000 attendees, every year. The weekend-long conference consists of research paper presentations, panel discussions, and keynotes on all the latest research and innovation in computer information systems. 

This year, Hive Tracks' Dr. Joe Cazier presented his research on building a standardized data platform for beekeepers.
This project aims to set up a data analytics platform that allows for the consistent and reliable data collection of both human interventive and natural order data across commercial and backyard beekeepers that will allow for the applicaiton of advanced data analytics techniques.

These Big Data analytical techniques applied to data from across multiple locations, crops and forage locations will allow for the analysis and understanding of relationships in beekeeping and agriculture. To learn more about this project and other Hive Tracks research efforts, please visit https://hivetracks.com/research.php.

While in the area, Hive Tracks' stopped by their friends at Follow the Honey - a Cambridge based bee product business who travel the world to bring "transparency of source" raw honey and bee-inspired offerings to their customers. To learn about Follow the Honey's products and offerings, and read about their most recent travel stories, visit http:/www.followthehoney.com/.

Be sure to tune in for our next blog post, where we'll be discussing beekeeper Sullivan Wilkes' recent travels to commercial beekeeping operations around North America.

References
Cazier, Joseph. "Building an Analytics Platform for Beekeepers" August 12, 2017.  https://docs.google.com/presentation/d/11Qink0NuYLnZQ3RhTVVN6WNpJIlB4IeLBHkxPQW6Gn4/edit?usp=sharing
Wilkes, J., Cazier, J., Moody, G. "Electronic Data Collection and Sensor Integration for Data Aggregation, Best Management Practices Data Mining and Smart Hive Development" March 1, 2016

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