Julian Cooper

The paper uses UAV-derived plant height data to predict maize grain yield variation within fields, showing moderate predictive accuracy but limitations in drought-stressed environments.

This study uses UAV imagery to track maize canopy cover over time, revealing its genetic and environmental influences and the limitations of single-time-point phenotyping.

This paper introduces an RGB-based deep neural network for high-fidelity Fusarium head blight phenotyping in wheat, achieving accuracy comparable to human scoring and demonstrating strong generalizability across field conditions.