October 20-22, 2023
Ready, Set, Hack
The N.C. Plant Sciences Initiative (PSI) Hackathon gives undergraduate and graduate students the chance to showcase their skills in a 3-day competition to solve agtech related challenges for prizes and bragging rights.
This year, the Hackathon is centered around agtech innovation in the areas of data analytics, 3D printing hardware fabrication and machine learning. Each track will have one or more challenges and will be inclusive to participants with various levels of experience.
Multiple gift card prizes are available for teams in each category. Participation is open to undergraduate, graduate, and post-doc students.Meals and snacks will be provided on both days.
REGISTRATION CLOSES OCTOBER 2, 2023
LIMITED SPOTS AVAILABLE
This year, the Hackathon is centered around agtech innovation in the areas of data analytics, 3D printing hardware fabrication and machine learning. Each track will have one or more challenges and will be inclusive to participants with various levels of experience.
Multiple gift card prizes are available for teams in each category. Participation is open to undergraduate, graduate, and post-doc students.Meals and snacks will be provided on both days.
REGISTRATION CLOSES OCTOBER 2, 2023
LIMITED SPOTS AVAILABLE
Location
NCSU Plant Sciences Building
840 Oval Drive, Raleigh, NC 27606
PARKING
851 Partners Way, Raleigh, NC 27606
840 Oval Drive, Raleigh, NC 27606
PARKING
851 Partners Way, Raleigh, NC 27606
3 Day Event
October 20
5:00 PM-8:00 PM
October 21
10:00 AM-8:00 PM
October 22
10:00 AM-5:00 PM
5:00 PM-8:00 PM
October 21
10:00 AM-8:00 PM
October 22
10:00 AM-5:00 PM
Tracks
Each track will have one or more challenges, and will be inclusive to participants with various levels of experience.
Visual Analytics
Beginner
Explore corn datasets in SAS Visual Analytics and apply machine learning to predict yield. No previous knowledge required. This track is open to anyone and is designed to teach participants the basics of data analytics using a common platform.
3D Printing Hardware
Intermediate
Tackle a real hardware engineering challenge by finding the most creative solution using 3D printing, beginner-level electronics and other maker tools. This track is open to anyone, but is best suited for engineering and design students.
Machine Learning
Advanced
Create machine learning models in Python (or programming language of choice) to identify weather and genotypic factors important for predicting and/or optimizing yield. This track is best suited to engineering and sciences students. (Dataset provided by Bayer.)
Get Inspired!
Hear from 2022 participants and mentors about why the NC PSI Hackathon is a unique opportunity.