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.
Modelos metabólicos y de crecimiento integrado predicen el metabolismo del arroz cultivado en condiciones normales y limitantes de agua.
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.
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.
Detailed kinetic modelling of sucrose translocation and metabolism captures the spatio-temporal evolution of the advection-diffusion-reaction system.
A comparison of the performance of knowledge-based models, data-driven machine-learned models, and an ensemble of both.
Yield dissection models in tomato identify promising yield components and corresponding QTLs.
Evaluating how limited transpiration at high evaporative demand affect grain yield across Australia using computer models.