October 17–18, 2026

MS-CC & Delaware State University’s Smart Agriculture 24-Hour Hackathon

MS-CC logo on a teal background with the NSF logo in the top right and the text “in partnership with Internet2” in the bottom right.

This 24-hour interdisciplinary hackathon brings together up to 50 students from computer science, data science, agriculture, business, MIS, and related disciplines to tackle a shared challenge: using data, AI, and software to help agricultural communities better understand and respond to changing weather, drought, water availability, soil conditions, and crop performance.

Working in teams of 3–5, students will choose a specific agricultural problem and build a digital tool for farmers, researchers, extension professionals, or other agricultural stakeholders. Participants will have access to curated datasets drawn from authoritative sources such as USDA, NOAA, the U.S. Drought Monitor, and NASA, along with starter code, technical resources, and guidance from mentors.

Students of all experience levels are welcome. Teams may build anything from drought-risk dashboards and geographic risk maps to crop-yield prediction tools, irrigation decision-support applications, or evidence-grounded AI assistants. Projects will be judged on how well they understand the problem, use data and evidence, create a usable working prototype, and communicate the value of their solution, rather than on technical complexity alone.

Across the 24-hour challenge, students will:

The Smart Agriculture Hackathon gives students an opportunity to apply their skills to a real-world challenge at the intersection of agriculture, data, AI, and environmental resilience, while gaining hands-on experience turning data into practical decision-support tools.

Hackathon Schedule (Tentative)

Saturday, October 17
Morning
  • 8:00–9:00 AM | Registration & Breakfast
    Check in, meet fellow participants and mentors, and get ready for the challenge.
  • 9:00–10:00 AM | Welcome & Challenge Kickoff
    Introduction to the Smart Agriculture challenge, datasets, judging criteria, technical resources, and event expectations.
  • 10:00–11:00 AM | Team Formation & Problem Definition
    Finalize teams, identify your target user and agricultural problem, and begin developing your solution.
  • 11:00 AM–1:00 PM | Build Session #1
    Explore the datasets, develop your approach, and begin building your prototype.
Afternoon
  • 1:00 PM | Mentor Checkpoint #1
    Teams share their intended user, problem, proposed solution, and planned use of data with mentors.
  • 1:30–6:00 PM | Build Session #2
    Continue analysis, development, testing, and prototyping with mentor support available throughout the afternoon.
Evening
  • 6:00 PM | Dinner & Mentor Checkpoint #2
    Teams demonstrate their progress, including loaded data and a functioning analysis, interface, or early prototype.
  • 7:00 PM Onward | Evening & Overnight Build
    Continue building, testing, and refining your solution.
Sunday, October 18
Morning
  • 8:00–9:00 AM | Breakfast & Final Build
    Reconnect with mentors, troubleshoot remaining issues, and prepare your project for submission.
  • 9:00–11:00 AM | Final Development & Presentation Prep
    Complete testing, stabilize your prototype and code, and prepare your final presentation and demonstration.
  • 11:00 AM | Project Submission Deadline
    Teams submit their final project materials and GitHub repository.
  • 11:15 AM–1:00 PM | Team Pitches & Demonstrations
    Each team delivers an approximately 5-minute presentation and live demonstration, followed by judge Q&A.
Afternoon
  • 1:00–1:30 PM | Judging
  • 1:30–2:00 PM | Awards & Closing
    Winners are announced, projects are recognized, and the hackathon concludes.

Location

Division of Information and Technology
Delaware State University

1200 N DuPont Highway, Bank of America Building, Suite 313
Dover, DE 19901

Registration


Claim Your Spot at the Hackathon

Register today for Delaware State University’s Smart Agriculture Hackathon to gain hands-on AI and data experience, while building practical tools for real-world environmental impact.