Computational Models
Autonomous construction of 3D leaves
An assessment of deep generative networks in creating realistic 3D data
Computational Models
An assessment of deep generative networks in creating realistic 3D data
Rachel Shekar ·
Cells, Genes & Molecules
Surveying machine learning methods to improve detection of binding sites.
Rachel Shekar ·
Computational Models
Predicting phenology can provide insight into better management.
Rachel Shekar ·
Cells, Genes & Molecules
Bioengineering boosts photosynthesis and increases yields in food crops for the first time ever.
Rachel Shekar ·
Cells, Genes & Molecules
A model designed to study circadian effects on physiology becomes more broadly useful when the clock regulates metabolites.
Rachel Shekar ·
Cells, Genes & Molecules
A new gene-to-phenotype network for shoot branching.
Rachel Shekar ·
Computational Models
Measuring the impact of brace roots on lodging resistance in maize.
Rachel Shekar ·
Computational Models
The closeness of plants affects architectural plasticity and carbon uptake.
Rachel Shekar ·
Cells, Genes & Molecules
A new study uses computational modelling to determine how and why cotton quality develops.
Rachel Shekar ·
Computational Models
A new study highlights areas of compatibility and strategies to move towards better communication and collaboration.
Rachel Shekar ·
Computational Models
The Quantitative Plant website is a comprehensive database of public datasets for plant phenotyping, image analysis software tools and models for plants.
Rachel Shekar ·
Cells, Genes & Molecules
Presenting BioCro II: an updated software package for modular crop growth simulations.
Rachel Shekar ·