Drones Meet AI - Spring Hackathon 2026


Date
Mar 16, 2026 — Mar 27, 2026
Location
Weihenstephan Campus
Emil-Ramann-Str. 2, Freising, 85354

Drones Meet AI - Spring Hackathon 2026

The Spring Hackathon 2026 is a 2-week intensive Master-level course organized by the TUM Precision Agriculture Lab, bringing together students and early-career researchers to tackle real-world challenges at the intersection of drone-based remote sensing and artificial intelligence.

Program Overview

Participants will work in interdisciplinary teams on a shared challenge, using UAV imagery and AI methods to extract meaningful insights for agricultural and environmental applications.

The program combines:

  • Hands-on coding sessions with real drone-acquired datasets
  • Team-based problem solving in collaborative environments
  • Expert mentoring from researchers in remote sensing, agronomy, and AI
  • Final challenge presentation where teams showcase their solutions

The Challenge

Over the intensive two-week period, student teams will:

  • Process and analyze multispectral UAV imagery
  • Develop AI-powered solutions for agricultural applications
  • Apply computer vision and deep learning techniques
  • Extract meaningful features and compute vegetation indices
  • Build machine learning models for crop monitoring and trait prediction

🏆 Hackathon Award

The course concludes with a final challenge presentation, where teams will present their solutions to a panel of experts.

One team will be selected as the winner of the hackathon challenge, recognized for their innovative approach, technical excellence, and practical impact.


Join us for this exciting opportunity to advance your skills in drone remote sensing and artificial intelligence while tackling real-world agricultural challenges!

Prof. Dr. Kang Yu
Prof. Dr. Kang Yu
Professor of Precision Agriculture

My research interests include precision crop farming, hyperspectral remote sensing, and AI in agriculture.

Dr. Anirudh Belwalkar
Dr. Anirudh Belwalkar
Postdoctoral Researcher

My research interests include hyperspectral remote sensing of vegetation and precision agriculture.