BeeTRI links scientists and hobbyists and provides shared and centralized data gathering, analysis, monitoring, alerting, and focused collaboration. With BeeTRI this includes collecting and analyzing comprehensive beehive data, providing the platform for collaboration, information sharing and alerting, allowing scientists and citizen scientists to solve bee decline issues etc.

1. BeeTRI
Collaborating to Solve the Global
decline in Bee Population

2. • Scientists lack access to global real time data
– Small, isolated data sets are collected
– Even smaller data sets are shared
• Scientists operate in isolation
– Within an isolated community and field of study
– Within an isolated institution
– Within a specific geographic location, language, culture
• Scientists lack a Solution Oriented Collaboration Platform
Scientific Community Challenges

3. • Declining bee population with multi-trillion dollar economic impact for
planet
• Various hypotheses regarding causes but no solution (e.g. varroa mite vs.
neonicotinoids)
• Growing interest of recreational beekeepers (Citizen Scientists) willing
and eager to contribute to solution
• Lack of global data for Melittologists
• Lack of global collaboration for Melittologists
• Lack of proactive monitoring and alerting in apiaries
Collaborating to Save the Bees

4. • Platform to crowdsource intricate global problems
• Centralized data gathering, modeling and trend analysis
• Proactive global monitoring and alerting
• Real time web and mobile interfaces
• Integrated Stack of easy to implement Software and
Hardware
The BeeTRI Solution

5. Architecture

6. • Subscription based
• Integrated HW stack (sensors, WAN/WLAN) for monitoring and
transmitting
• Industry investments to drive solutions
• Government investments for specific problems
• “Gamify” solution development
BeeTRI Business Model

7. BeeTRI in action…
DEMO

8. DELETE AFTER THIS…

9. • Meraki
– Geo Location, networking, and
tracking Infrastructure
• Tropo
– Alerting triggered by data in Zeus
(alert on hive temperature, density,
etc.)
– Beekeeper texts to central # posted on
collaboration site
• Project Shipped
– Serve front end application
– Provide data from Spark & Meraki
– Host analysis platform (Jupyter)
• Spark
– Web site collaboration
– Central information exchange (data)
– Central location for field alerts
• Data61
– IoT hive data feed for analysis
• Zeus
– Ingestion of IoT data (Raspberry Pi)
– Backend data source for analytical
processing
– Real Time dashboard of regional hive
activity
• Relayr
– Live beehive status (Raspberry Pi)
BeeTRI – Features & Functionality

10. • Declining bee population with huge economic impact for planet
• Bees as bio-sensors indicate OUR environment may not be safe – “As go bees so goes society.”
• Various hypotheses regarding causes but no solution (e.g. varroa mite vs. neonicotinoids)
• “We don’t know what we don’t know”
– Confirmation/congruence/expectation bias
– Focusing effect
– Commercial interests
• And we know very little
– Bee identification (e.g. facial/unique characteristic recognition)
– Bee communication (audible/inaudible)
– Bee navigation
• Growing interest of recreational beekeepers (Citizen Scientists) willing and eager to contribute to
solution
• Lack of global data for Melittologists
• Lack of global collaboration for Melittologists
• Lack of proactive monitoring and alerting in apiaries
BeeTRI - A Case Study for SCI-Solve