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

Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …

A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …

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

The segmentation and classification of leaves in plant images are a great challenge,
especially when several leaves are overlapping in images with a complicated background …

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 …

The number of objects is considered an important factor in a variety of tasks in the
agricultural domain. Automated counting can improve farmers' decisions regarding yield …

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

Accurate chemical thinning of apple trees requires estimation of their blooming intensity, and
determination of the blooming peak date. Performing this task, as of today, requires human …

The use of deep neural networks (DNNs) in plant phenotyping has recently received
considerable attention. By using DNNs, valuable insights into plant traits can be readily …