Integration of machine learning and crop modelling can optimize predictions of plant growth and yield.
Continue reading Improving crop modeling using machine learning
Using computational models to overcome the shortcomings of high throughput phenotyping field data.
Continue reading Modelling phenomics data for temperature response
The Quantitative Plant website is a comprehensive database of public datasets for plant phenotyping, image analysis software tools and models for plants.
Continue reading Find and compare the different tools available for your research in plant science
“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 other plant processes respond.”
Continue reading It’s all connected: modeling water potential and plant physiological processes
A new system automatically transforms existing process-based crop models into different languages and simulation platforms.
Continue reading Reuse, don’t lose, process-based models and components
Parsimony and biological reality are often seen as antagonistic goals in plant modelling. Hammer and colleagues argue that isn’t always the case, and combining the two approaches could bring benefits to scientists as well as plants.
Continue reading How do you combine simplicity and realism in plant models?Botany One is a blog run by the Annals of Botany Company, a non-profit educational charity.
In addition to Botany One, the company currently publishes three journals, the Annals of Botany, AoB PLANTS, and in silico Plants.
Feedback