Digital Agriculture

My research, as an interdisciplinary study, endeavors to combine advanced remote sensing with machine learning techniques for agricultural applications. In particular, it involves:

• Multi-source remote sensing data fusion, including hyperspectral/multispectral imagery, RGB imagery and LiDAR.
• Machine learning for high dimensional data analysis, including feature extraction, classification and regression.
• UAV-based imaging platform developments for precision agriculture.
• ​Crop growth monitoring and yield prediction using remote sensing and machine learning.
• High-throughput image based plant phenotyping.

Dr. Zhou Zhang