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Category - Computational Models
Rachel Shekar
Machine Learning Unfolds New Insights Into Leaf Traits and Climate
A novel machine learning-based study using digitized herbarium collections provides insights into the relationship between leaf size and climate across different plant species, and demonstrates the benefit of human...
Alun Salt
The Mathematics of How Plants Combat Pollen Scarcity with Self-Pollination
Through innovative eco-evolutionary models, Kuangyi Xu offers fresh insights into how plants could self-rescue in times of pollen scarcity by balancing the benefits and costs of self-fertilization.
Dale Maylea
What drives cambium development?
Using a mathematical model to test a proposed cambial cell division feedback loop.
Unlocking the secret to breeding high yielding protein-rich wheat
Models enable the optimization of multiple trait trade-offs.
Introducing Cropbox: a declarative crop modeling framework
Plant modelers do not also need to be software engineers thanks to Cropbox framework
Is photorespiration necessary for photosynthesis?
Modelling unveils the role of photorespiration in stabilizing the Calvin cycle.
How to account for clonal pup mass
Modeling differences in reproductive effort between iteroparous and semelparous reproductive strategies in Bromeliaceae
Why is active carbon storage being ignored by modelers?
Active carbon pools need to be included for accurate simulation of plant growth patterns under fluctuating environments.
Jet lagged plants pave the way to first digital plant
You can listen to this page as an audio file. Scientists have made a significant step towards building the world’s first digital plant by developing a sophisticated computational model which has also solved one of...
Eurekalert
Improving crop modeling using machine learning
Integration of machine learning and crop modelling can optimize predictions of plant growth and yield.
Modelling pollen competition
Identification of traits affecting pollen performance
New open source software for identifying candidate genes
Introducing cageminer, an R/Bioconductor package to prioritize candidate genes by integrating GWAS and gene coexpression networks
Simulating red:far red ratio in your model
The best method depends on your goal, need for accuracy, and computing allowance
