A new study uses computational modelling to determine how and why cotton quality develops.
Category - Computational Models
Rachel Shekar
Connecting plant phenotyping and modelling communities
A new study highlights areas of compatibility and strategies to move towards better communication and collaboration.
Find and compare the different tools available for your research in plant science
The Quantitative Plant website is a comprehensive database of public datasets for plant phenotyping, image analysis software tools and models for plants.
Modular models allow users to focus on biology rather than programming
Presenting BioCro II: an updated software package for modular crop growth simulations.
Integrative and Multiscale Modelling Special Issue: Call for Papers
in silico Plants is calling for papers for a special issue on integrative and multiscale modelling. This special issue will aim to publish research describing improved and newly developed multiscale models and tools.
A trick of the light: Optimizing light quality conditions speeds plant growth
Model identifies optimal light conditions to manipulate the circadian clock.
Simulating mangrove light interception
3D reconstruction of mangrove tree phyllotaxis from digitized plants yields novel data.
Soil compaction and nitrate capture
While lateral roots comprise the bulk of root length, axial roots function as a scaffold determining the distribution of these laterals.
Alex Assiry
Finding the habitat of an invisible plant
Finding a suitable habitat for Rafflesia arnoldii is difficult. While it produces the single largest flower on the planet, it's invisible for much of its life.
Alun Salt
It’s all connected: modeling water potential and plant physiological processes
"As water potential is regarded the best indicator of plant water status, because it is the integrated result of above- and below-ground environmental conditions, it holds promise as a pivotal model variable to which...
Modelling ecosystem services of diversified agriculture
Combining modelling approaches to better understand cultivated plant community functioning
Computational model predicts soybean response to climate change
A successful plant model has now been parameterized to include soybean growth under elevated CO2.
Creating visually realistic plant images to train neural networks
An interactive method for creating and calibrating developmental plant models expressed using L-systems
Deep learning techniques used to predict missing data
A new model produces 3D trees that are close to reality using predicted data.
