A new metabolic model identifies the genetic basis of salt stress resilience in plants.

A new tool generates images of stomata that improve the accuracy of stomal detection by deep learning models.

A new model of hazelnut enhances our understanding of its growth and development.

A new study reveals that a simple block model can achieve comparable results to complex models in assessing light interception for maize

Recent research emphasizes the critical role of photoprotection mechanisms in helping plants cope with excess light, which can impair photosynthesis.

A new interactive tool is helping South American soybean growers make smarter planting decisions.

New model connects dynamic enzyme activity of photosynthesis with whole canopy growth and yield for soybean.

There is a complex relationship between leaf area index and yield, which is influenced by an intricate interplay of genetic, environmental, and management factors.

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 the most enduring plant science mysteries—the role of the biological clock. Anyone who has suffered from jet lag can identify with the devastating effects of a disrupted biological clock. Now […]

Integration of machine learning and crop modelling can optimize predictions of plant growth and yield.

Identification of traits affecting pollen performance

Introducing cageminer, an R/Bioconductor package to prioritize candidate genes by integrating GWAS and gene coexpression networks