The Synavis framework provides a solution to overcome data scarcity for training deep learning biological image analysis models.
Tag - deep learning
Rachel Shekar
Increasing yield prediction accuracy
Researchers find combining multiple types of models improves crop yield predictions, outperforming single models.
Harmonizing global water stress research
Plants use and lose water through a process called evapotranspiration, which varies considerably across biomes due to a diverse set of factors. Understanding the intricacies of evapotranspiration is pivotal in a climate...
Francesco Giardina
Creating visually realistic plant images to train neural networks
An interactive method for creating and calibrating developmental plant models expressed using L-systems
Deep learning techniques used to predict missing data
A new model produces 3D trees that are close to reality using predicted data.
Flora Incognita shows high identification accuracy in Northern Europe
Plant identification apps are now widely available for smartphones but can we trust them for research and nature conservation purposes?
William Salter
X-ray CT scanning can boost tree-ring research
A new technique to scan tree rings offers to yield precious new data on past climates.
Alun Salt