Plant phenotype plays an important role in genetics, botany, and agronomy, while the
currently popular methods for phenotypic trait measurement have some limitations in …

Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

Image inpainting is an important research direction in the study of computer vision, and is
widely used in image editing and photo inpainting etc. Traditional image inpainting …

Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …

Background Plant root research can provide a way to attain stress-tolerant crops that
produce greater yield in a diverse array of conditions. Phenotyping roots in soil is often …

The road surface area extraction task is generally carried out via semantic segmentation
over remotely-sensed imagery. However, this supervised learning task is often costly as it …

Background Deep learning methods have outperformed previous techniques in most
computer vision tasks, including image-based plant phenotyping. However, massive data …

Plant roots are difficult to monitor and study since they are hidden belowground.
Minirhizotrons offer an in-situ monitoring solution but their widespread adoption is still …

Abstract Three-dimensional (3D) image analysis represents the state-of-the art for
phenotyping in the fields of biology and plant science including studies of root system …

Semantic segmentation networks are prone to oversegmentation in areas where objects are
tightly clustered. In minirhizotron images with densely packed plant root systems this can …