Harnessing the Power of Synthetic Data for Deep Learning Image Analysis
The Synavis framework provides a solution to overcome data scarcity for training deep learning biological image analysis models.
Computational Models
158 posts
© 2026 Botany One. Published with Ghost
A Comparative Analysis for Predicting Wheat Yield in Rainfed Areas of Morocco
A new study comparing crop yield prediction models reveals insights into the effectiveness of different modeling in the face of climate change.
Exploring the synergy of canopy architecture and nitrogen partitioning
Models uncover how plants coordinate architectural characteristics and photosynthetic nitrogen allocation to optimize photosynthesis.
Towards Super-High Yielding Rice: A Novel Approach to Optimize Grain Filling
A novel systems model, in conjunction with genetic algorithms, identify ideotypes with high yield potential.
Climate-Proof Wheat: Insights on Key Traits for Yield Stability in a Dynamic Environment
Assessing the impact of traits on wheat yield and stability under climate change.
Exploring the Influence of Phloem Resistance on Root System Architecture
Studies model the local influence of phloem resistance on taproot and lateral root growth.
Increasing yield prediction accuracy
Researchers find combining multiple types of models improves crop yield predictions, outperforming single models.
Weathering the Storm: Understanding Maize Lodging Resistance
A new model identifies the morphological features that determine stalk bending strength.
Introducing the new CPlantBox
Computational model may help unravel the complex processes of drought tolerance.
Imaginary Plants Reveal the Physics of Real Killers
A novel approach uniting maths, physics, and biology has uncovered how diverse rim shapes in carnivorous pitcher plants relate to strategies for catching different insect prey.
Stay in the loop.
Sign up to receive updates and the latest news from Botany One.
Your email