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 sometimes adding more data to a model reduces its predictive power.

A combination of modern methods and indigenous knowledge could help conserve endangered plants.

Climate models often struggle to capture the timing of leaf drop. A new study finds that scientists haven’t been looking at rainfall the way plants have.

Researchers develop innovative techniques to track plant aging

Researchers use a functional-structural plant model to analyze how architectural and physiological traits affect nitrogen uptake and physiological efficiency.

Scientists create a computational model to uncover the role of metabolites in the vacuole fusion process.

MODELBARK provides valuable insights into the dynamics of bark formation through computer simulations.

Small garden patches provide crucial food for wild bees when farm flowers are scarce in early spring and late summer.

Researchers improve model prediction accuracy by closing existing data gaps.