Distributed by:
KS

Issued to

Karim Stackhouse

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Credential Verification

Issue date: October 19, 2026

ID: f4f0d494-c6dc-4591-a6d0-ba5d527a0851

Issued by

MS-CC

Type

Achievement

Duration

24 hours

Description

**Data to Harvest: AI for Agricultural Resilience** is a 24-hour hackathon for Delaware State University students focused on solving real-world agricultural challenges with data, AI, and technology. Working in teams of 3–5, participants will use agricultural and environmental datasets to build digital solutions for farmers, researchers, extension professionals, and other agricultural stakeholders. With curated data from **USDA, NOAA, NASA, and the U.S. Drought Monitor**, plus starter code, technical resources, and mentor support, students can create tools such as drought-risk dashboards, crop-yield prediction apps, irrigation decision-support tools, geographic risk maps, or AI assistants. Open to all disciplines and experience levels, the event concludes with prototype demos and presentations to judges, with awards for innovation, usability, technical execution, and problem-solving.

Skills

AI/ML

Geospatial Analysis

Prototype Development

Presentation Skills

Data Analysis

Earning Criteria

Participation

Participate in the MS-CC and Delaware State University Data to Harvest: AI for Agricultural Resilience Hackathon held on October 17–18, 2026.

Participation

Work as a member of a team of 3 to 5 students during the 24-hour hackathon challenge.

Assignment

Define a real-world agricultural problem and present your solutions to a panel of judges.