Are you ready to shape the future of agriculture using cutting-edge technology? Join the Precision Farming Hackathon and dive into solving real-world challenges with AI-powered solutions. This is your opportunity to combine innovation, technology, and creativity to address some of agriculture’s most pressing issues.
Hackathon Overview
Plan4all challenge 2: AI-Powered Solutions for Precision Agriculture
Your mission is to create groundbreaking AI-driven systems that enhance crop monitoring and weather forecasting in agriculture. By integrating satellite imagery, local weather data, and sensor inputs, participants will focus on improving prediction accuracy and tackling challenges like cloud cover and data integration.
📅 Dates: 6-7 February 2025, 24-hour event
📍 Location: Online
Why Participate?
Develop In-Demand Skills: Gain hands-on experience with machine learning, AI, and geospatial data analysis while addressing real-world agricultural problems.
Networking Opportunities: Connect with industry leaders, mentors, and like-minded innovators passionate about technology and sustainability.
Non-Paid Internship Opportunity: Winners will have the chance to participate in a three- to six-month internship with Plan4all, a renowned non-profit organization specializing in open data and geospatial solutions.
- Duration: Flexible between three to six months, depending on the student’s availability and project progress.
- Academic Growth: Opportunities for paid collaboration on master’s or doctoral theses, supporting both academic and professional development.
- Reimbursement: Travel expenses will be reimbursed for in-situ meetings required during the internship.
Career Growth: Impress potential employers or collaborators with your innovative thinking and technical skills.
Key Challenge Focus: AI-Powered Cloud Removal for Satellite Imagery
Problem: Cloud cover often obstructs satellite imagery, limiting its use in agriculture. Accurate, cloud-free data is essential for calculating vegetation indices (e.g., NDVI) and assessing crop health.
Existing Solution: Advanced AI models like UnCRtainTS and U-Net have successfully reconstructed cloud-free satellite images by integrating radar (Sentinel-1) and optical (Sentinel-2) data. These models deliver actionable insights into crop health and stress levels.
Your Task:
- Evaluate how well current cloud removal models perform in Central Europe, with its unique agricultural conditions like high seasonal cloud cover and diverse crop types.
- Fine-tune and enhance these models to work with region-specific datasets, improving their accuracy and efficiency for real-time agricultural decision-making.
- Develop smart, actionable tools that empower farmers to optimize crop management and adapt to changing environmental conditions.
How to Join
- Visit the Precision Farming Hackathon website.
- Register by 26 January 2025.
- Join the Pre-Hack Webinar on 15 January 2025 (registration here: Webinar Registration)
- Get ready to innovate and make a difference!
Who Can Apply?
We’re seeking:
● University students or recent graduates (within the past two years).
● Passionate individuals with an interest in agriculture, sustainability, and innovation.
● Participants with knowledge of IoT, AI, or robotics (helpful but not required).
This is an individual hackathon, meaning you’ll compete solo on your chosen challenge.
Ready to Hack the Future of Agriculture?
Don’t miss out on this chance to be part of something transformative. With AI and precision farming, the possibilities are endless. Register now and help farmers optimize productivity, adapt to environmental changes, and build a more sustainable future.