Using machine learning and growth models to streamline large scale root phenotyping

Here we will show that structural root models can be used in combination with image analysis pipelines to assess and improve their overall performance. we will present an innovative strategy that combines root models and machine-learning algorithms (random-forests), that can increase the measurement accuracy.