Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies

Image-based phenotyping of plant disease symptoms

Plant diseases cause significant reductions in agricultural productivity worldwide. Disease symptoms have deleterious effects on the growth and development of crop plants, limiting yields and making agricultural products unfit for consumption. For many plant-pathogen systems, we lack knowledge of the physiological mechanisms that link pathogen infection and the production of disease symptoms in...

Image-based Plant Disease Phenotyping 2

Image-based 3D digitizing for plant architecture analysis and phenotyping

Functional-structural plant modeling and plant phenotyping require the measurement of geometric features in specimens. This data acquisition is called plant digitizing. Actually, these measurements are performed manually, in invasive or even destructive ways, or using expensive laser scanning equipment. Computer vision based 3D reconstruction is an accurate and low cost alternative for the digi...

Image-Based Phenotyping of the Mature Arabidopsis Shoot System

The image-based phenotyping of mature plants faces several challenges from the image acquisition to the determination of quantitative characteristics describing their appearance. In this work a framework to extract geometrical and topological traits of 2D images of mature Arabidopsis thaliana is proposed. The phenotyping pipeline recovers the realistic branching architecture of dried and flatte...

Image-based plant phenotyping with incremental learning and active contours

Plant phenotyping investigates how a plant’s genome, interacting with the environment, affects the observable traits of a plant (phenome). It is becoming increasingly important in our quest towards efficient and sustainable agriculture. While sequencing the genome is becoming increasingly efficient, acquiring phenotype information has remained largely of low throughput. Current solutions for au...