Recalibrating models using absolute – instead of relative – mass units makes it possible to test modelled transcription rates against biochemical data.
Computational models simulate grapevine management and provide information on how this affects canopy light absorption.
A new study challenges the conventional wisdom of row orientation.
A new study reveals the impact of spatial resolution on accurately representing the interactions between plant canopy structure and function.
Functional-structural plant modelling is the key to predicting how plant communities will respond to climate change.
Integrated growth and metabolic models predict the metabolism of rice growth under normal and water-limited conditions.
Models fill in the data gaps to identify genotypes to maximize yield across the NE Australian wheat-belt under climate change.
A new study uses multiple approaches to determine why horizontally expanding leaf patterns exist and how they are formed.
How does a local wind reduction zone influence seed dispersal around a single shrub element?
A novel circadian clock model based on real-world clocks delivers simplicity, entrainment, reliability, and accuracy.
Cyber physical technologies such as earth observation and biophysical crop modelling can play a major role in production, sustainability, and profitability of production systems in the face of climate change.
Computer simulations confirm that plant diversity can be explained by three assumptions.
A new algorithm offers to take up the hard work of turning data points into tree models.