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My research combines advanced remote sensing with machine learning techniques for agricultural applications. In particular,

• High-throughput image-based plant phenotyping.

• UAV-based imaging platform developments for precision agriculture.

• Crop and crop type classification using Earth Observation Data

• Crop growth monitoring and yield prediction using remote sensing and machine learning.

• Multi-source remote sensing data fusion, including multispectral imagery, RGB and Radar.

• Computer Vision in Precision Agriculture

• Deep Learning Computer Vision with Drone