We aim to integrate domain knowledge from agriculture, such as knowledge from process-based crop growth models and physics-based radiative transfer models, to improve the robustness,...
We develop multi-scale sensing systems, from individual plants to field-level, to enable scalable detection of stress and disease.
We employed UAV-based multimodal images, including RGB, multispectral, and thermal data, to evaluate the drought tolerance of bioenergy sorghum. By leveraging the concept of drought...
Plant phenotypes are the observable traits of a plant, like height and leaf size. High-throughput plant phenotyping (HTPP) is a burgeoning technology facilitating rapid and...
Data pipelines were created to extract multiple crop structural features, such as plant height and leaf area index, from three-dimensional (3D) LiDAR (Light Detection and...