Using drone based RGB and Multispectral imaging we monitor plot level attributes such as early stand count, canopy cover, vegetation indices, and canopy structure across large breeding popualtions. These measurements help assess vigor, emergence, and uniformity, enabling informed selection decision early in the season.

We utilize drone imagin tools to screen soybean for tolerance to key abiotic and herbicide stresses including drought and flood and herbicide exposure. Imaging derived vegetation indices enable objective, scalable assessment of plant responses under field conditions.

We harness imaging data to predict key agronomic traits such as yield. By analizing high resolution images, we extract quantitative features that serves as predictors of perfomance under variable environments, supporting early selection decisions