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:
Define a real-world agricultural problem and identify the stakeholder whose solution will serve.
Work with environmental and agricultural datasets to explore conditions, risks, and potential solutions.
Collaborate across disciplines to design and build a working prototype.
Receive guidance from mentors in agriculture, data science, application development, geospatial analysis, and AI/ML.
Present and demonstrate their solution to a panel of judges, with awards recognizing strong problem-solving, innovation, technical execution, and usability.
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.
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
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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.