AI Meets Drones Summer Hackathon 2025

Abstract

This event is organized in conjunction with the Master’s course “Drone Remote Sensing Meets AI”, bringing together students and researchers to tackle real-world challenges at the intersection of drone remote sensing technology and artificial intelligence. Throughout the week, participants will work in teams to develop and test AI-powered solutions for processing drone-acquired imagery, addressing agricultural tasks such as object detection, classification of crop types or stress conditions, and regression-based trait prediction. The event fosters an interactive environment where cutting-edge UAV data meets machine learning workflows — encouraging innovation, collaboration, and critical thinking in precision agriculture.

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

Postdoctoral Researcher

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

Chenghao Lu

Research assistant & Joint Phd student

My research interests are Agricultural Digital Twin and Smart Breeding. My project focuses on the construction of a Digital Twin system for maize, aiming to fuse Genetic x Environmental x Management data to construct a high-precision and dynamically updated maize growth virtual twin. By introducing a DNA language model with a multimodal fusion approach, I hope to achieve accurate simulation of maize phenotypes and breeding to support sustainable agricultural development.