Image-based morphometric technology is broadly applicable to generate large-scale
phenomic datasets in ecological, genetic and morphological studies. However, little is …

Background Computer-based phenotyping of plants has risen in importance in recent years.
Whilst much software has been written to aid phenotyping using image analysis, to date the …

Premise The measurement of leaf morphometric parameters from digital images can be time‐
consuming or restrictive when using digital image analysis softwares. The Multiple Leaf …

Leaf shape parameters are of key importance to explain the role of energy balance and
water economy in plant species distribution, plant productivity and, more generally, in plant …

A high-throughput plant phenotyping system automatically observes and grows many plant
samples. Many plant sample images are acquired by the system to determine the …

Recent advances in microscopy, imaging, and data analyses have permitted both the
greater application of quantitative methods and the collection of large data sets that can be …

Background Accurate and automated phenotyping of leaf images is necessary for high
throughput studies of leaf form like genome-wide association analysis and other forms of …

Plant phenotyping investigates how a plant's genome, interacting with the environment,
affects the observable traits of a plant (phenome). It is becoming increasingly important in …

Leaf morphometrics are used frequently by several disciplines, including taxonomists,
systematists, developmental biologists, morphologists, agronomists, and plant breeders to …

Systems for collecting image data in conjunction with computer vision techniques are a
powerful tool for increasing the temporal resolution at which plant phenotypes can be …