The role of AI in Sustainable Agriculture

Submission Dates:
02/11/2025 to 05/16/2025
Citation Author(s):
Kipngeno
Koech
Submitted by:
kipngeno koech
Last updated:
Tue, 01/21/2025 - 11:40
DOI:
10.21227/sfnp-ft07
License:
Creative Commons Attribution

Abstract 

 

The IEEE Hackathon on AI for Sustainable Agriculture is an integral part of the IEEE Africa Entrepreneurship Summit 2025, scheduled for 22nd-23rd May at the Crown Conference Hall in Kigali, Rwanda. This hackathon aims to foster innovation and collaboration among developers, researchers, and entrepreneurs to tackle pressing challenges in sustainable agriculture using artificial intelligence (AI). By leveraging AI, participants will create impactful solutions that address food security, resource efficiency, climate resilience, and farmer empowerment across Africa.

Instructions: 

IEEE Hackathon on AI for Sustainable Agriculture

Instructions

  • Objective: Develop AI-driven solutions for sustainable agriculture challenges.

  • Focus Areas: Precision farming, climate resilience, crop monitoring, pest management, and yield prediction.

  • Eligibility: Open to students, researchers, developers, entrepreneurs, and professionals.

  • Registration: Sign up via IEEE DataPort. Teams of up to 5 or individual participants allowed.

  • Datasets: Access curated agricultural datasets on IEEE DataPort.

  • Submission Requirements:

    • Solution code.

    • Documentation.

    • Demo video.

  • Evaluation Criteria: Innovation, impact, feasibility, technical excellence, and presentation quality.

  • Key Dates:

    • Registration opens: Feb 1, 2025

    • Submission deadline: May 10, 2025

    • Final presentations: 22nd-23rd May 2025 (at the Summit).

  • Prizes: Awards for the most innovative and impactful solutions (Details coming soon)

  • Support: Access mentorship, workshops, and networking opportunities.

  • Contact: For queries, email kipngeno.koech@ieee.org.

 

Competition Dataset Files

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    Documentation

    AttachmentSize
    File Hackathon.pdf58.12 KB