Image-based rapid phenotyping of chickpeas seed size

Phenotyping Chickpeas and Pigeonpeas for Adaptation to Drought

The chickpea and pigeonpea are protein-rich grain legumes used for human consumption in many countries. Grain yield of these crops is low to moderate in the semi-arid tropics with large variation due to high GxE interaction. In the Indian subcontinent chickpea is grown in the post-rainy winter season on receding soil moisture, and in other countries during the cool and dry post winter or spring...

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 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 high-throughput field phenotyping of crop roots.

Current plant phenotyping technologies to characterize agriculturally relevant traits have been primarily developed for use in laboratory and/or greenhouse conditions. In the case of root architectural traits, this limits phenotyping efforts, largely, to young plants grown in specialized containers and growth media. Hence, novel approaches are required to characterize mature root systems of old...