Plant Phenotyping Research Group

Extracting meaningful numerical phenotypes from plant images remains a substantial
bottleneck in image-based automated plant phenotyping. Image based plant phenotyping 
has the following desirable characteristics relative
to many other methods of collecting plant phenotypic data: 1) non-invasive, i.e., 
phenotypic traits can be measured without damaging the plants being measured; 2) 
tractable to automation, i.e., with properly engineered systems, very little, or 
no manual intervention or physical human labor is required; 3) scalable, i.e., 
large population of plants can be analyzed in relatively short period of time.

We are committed to develop computer-vision based algorithms for automated plant 
phenotyping analsysis for global food security.