Yosuke Toda

The paper trains a Mask R-CNN model for crop seed instance segmentation using synthetic data, achieving high performance on real-world datasets for barley and other crops.

DeepStomata automates stomatal aperture measurement using image segmentation, achieving accuracy comparable to manual methods with higher sensitivity and much faster processing.