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

Employing computer vision to extract useful information from images and videos is
becoming a key technique for identifying phenotypic changes in plants. Here, we review the …

Computer vision (CV) combined with a deep convolutional neural network (CNN) has
emerged as a reliable analytical method to effectively characterize and quantify high …

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 …

Plant phenomics has received increasing interest in recent years in an attempt to bridge the
genotype-to-phenotype knowledge gap. There is a need for expanded high-throughput …

Plant phenomics has been rapidly advancing over the past few years. This advancement is
attributed to the increased innovation and availability of new technologies which can enable …

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 stress is one of major issues that cause significant economic loss for growers. The
labor-intensive conventional methods for identifying the stressed plants constrain their …

Image-based plant phenotyping has been steadily growing and this has steeply increased
the need for more efficient image analysis techniques capable of evaluating multiple plant …

In plant phenotyping, it has become important to be able to measure many features on large
image sets in order to aid genetic discovery. The size of the datasets, now often captured …