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

The complex interaction between a genotype and its environment controls the biophysical
properties of a plant, manifested in observable traits, ie, plant's phenome, which influences …

Today there is a rapid development taking place in phenotyping of plants using non-
destructive image based machine vision techniques. Machine vision based plant …

High throughput image-based plant phenotyping facilitates the extraction of morphological
and biophysical traits of a large number of plants non-invasively in a relatively short time. It …

Background Plant architecture can influence crop yield and quality. Manual extraction of
architectural traits is, however, time-consuming, tedious, and error prone. The trait estimation …

Training deep learning models typically requires a huge amount of labeled data which is
expensive to acquire, especially in dense prediction tasks such as semantic segmentation …

Cosegmentation and coattention are extensions of traditional segmentation methods aimed
at detecting a common object (or objects) in a group of images. Current cosegmentation and …

The increasing demand for food production due to the growing population is raising the
need for more food-productive environments for plants. The genetic behavior of plant traits …

Deep learning (DL) approaches have received extensive attention in plant growth
monitoring due to their ground-breaking performance in image classification; however, the …

Motivation Image-based profiling combines high-throughput screening with multiparametric
feature analysis to capture the effect of perturbations on biological systems. This technology …