Ashish B. Rajurkar

RootQuant uses deep learning to automatically quantify root traits from minirhizotron images, achieving high accuracy across species without pixel-level annotations.

The paper uses a new root phenotyping system to conduct a GWAS on soybean root system architecture, identifying SNPs and gene networks associated with specific root traits.

This paper introduces a segmentation-free root phenotyping method using pose estimation, showing high accuracy and efficiency compared to segmentation-based approaches.