Can AI Predict Beehive Health? |
Participate and share : Poster
Heather Nicholson Dr. Laura Jacob
This project utilizes AI to predict beehive health. Equipped with RPi computers and cameras, students learn to “teach” the computer to identify bees entering a hive and analyze the data to make predictions on beehive health. The project will share resources for attendees to replicate in their own school systems.
Audience: | Chief technology officers/superintendents/school board members, Coaches, Teachers |
Skill level: | Beginner |
Attendee devices: | Devices not needed |
Topic: | Artificial Intelligence |
Grade level: | 6-12 |
Subject area: | Computer science, STEM/STEAM |
ISTE Standards: | For Coaches: Change Agent
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As a result of this poster session, participants will be able to:
- Establish a Raspberry Pi AI Program for student work
- Teach students the importance of pollinators and the impact of Colony Collapse Disorder on the honeybee
- Teach students the basics of artificial intelligence
Our supporting research includes: https://www.the-scientist.com/notebook/artificial-intelligence-could-help-monitor-bee-health-65776, https://www.forbes.com/sites/bernardmarr/2020/04/22/how-artificial-intelligence-iot-and-big-data-can-save-the-bees/, and https://www.sas.com/en_us/insights/articles/big-data/measure-beehive-health-with-analytics.html.
Heather Nicholson is a K-12 Learning Coach of California Area School District. She led the start of the district’s first no-grades, no-grade levels, personalized learning cohort of students. She has a masters degree in Curriculum and Instruction and has been teaching for 24 years.
Laura Jacob is the Superintendent of California Area School District. She is passionate about lifelong learning and creating innovative learning environments from traditional school systems.