11 skills found
plantphys / GstiA project focused on the development of generalized spectra-trait models for the prediction of leaf photosynthetic capacity. This includes models focused on the prediction of Vcmax, Jmax and dark respiration as well as leaf nitrogen, leaf mass per area (LMA), leaf water content (LWC).
jbferet / ProspectR package for the simulation of leaf optical properties based on their biochemical and biophysical properties using the PROSPECT leaf model. A tutorial can be found on the gitlab website
Gene-Weaver / LeafMachineDeprecated - LeafMachine is a GUI that autonomously extracts leaf trait data from herbarium vouchers using CNNs, SVMs, and CV algorithms. There are two GUIs: manual version for fine-scale analyses, batch version for local files or from a list of URLs.
jlager / Few Shot Leaf SegmentationSupporting information for "Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa"
FusangLiu / Maize Phenotyping Methods Based On Point CloudsThere are maize phenotyping methods including organ segmentation, leaf traits extraction, etc.
greenJIS / A Study On Paddy Disease Detection Using Color Co Occurrence FeaturesThe studies of plant trait/disease refer to the studies of visually observable patterns of a particular plant. Nowadays crops face many traits/diseases. Damage of the insect is one of the major trait/disease. Insecticides are not always proved efficient because insecticides may be toxic to some kind of birds. It also damages natural animal food chains. A common practice for plant scientists is to estimate the damage of plant (leaf, stem) because of disease by an eye on a scale based on percentage of affected area. It results in subjectivity and low throughput. This paper provides a advances in various methods used to study plant diseases/traits using image processing. The methods studied are for increasing throughput & reducing subjectiveness arising from human experts in detecting the plant diseases.
lipka-lab / Multi Trait GWAS Methods Reveal Loci Associated With Maize Inflorescence And Leaf ArchitectureGWAS Results for Multi-Trait GWAS Methods Reveal Loci Associated with Maize Inflorescence and Leaf Architecture
Antguz / PLSR Leaf TraitsCodes to predict leaf traits using PLSR models
plant-microct-tools / Leaf Traits MicroctFunctions to segment plant leaves microCT scans into distinct tissues and to extract anatomical data and other functional traits.
serbinsh / SSerbin NGEEArctic Spectra TraitDeveloping relationships between leaf and canopy reflectance and Arctic vegetation functional traits
susanmeerdink / PLSR Leaf Trait SpectroscopyCode for Partial Least Square Regression of Spectroscopy and Leaf traits
