INTERPHENO

Fostering High Throughput Plant Phenotyping by an Interdisciplinary Approach

Objective

The project brings together biologists, agronomists, physicists, IT professionals and engineers to produce and test a prototype of a high-speed plant phenotyping platform. The project is developed in 3 phases:

• Phase 1 – testing different sensors and different machine learning algorithms to process optical information; the possibility of extending the studied algorithms to the analysis of Vitis satellite images will be evaluated;
• Phase 2 – based on the information obtained in phase 1, a simplified phenotyping station prototype will be planned and built, prepared for two-dimensional image analysis, and tested using the Arabidopsis thaliana model;
• Phase 3 – the platform will evolve to include three-dimensional image analysis and will be tested using the Vitis model.

Impact

The availability of this platform to the national scientific community will be an important instrument for the genetic improvement of species of agronomic and fundamental interest.

INOV participation

Development of two optical sensors based on the laser- and lamp-induced fluorescence and the integration of the fluorescence technique into the semi-automated multi-sensor platform for phenotyping.