PROJECT | Literal
Organism Leader : ARVALIS
Project Leader : Benoît de SOLAN
Partners : CTIFL, GEVES, HIPHEN, INRA, ITB, Terres Inovia
The objective of the LITERAL project is to develop, implement and evaluate the performance of a light, portable and affordable phenotyping system. It uses a set of imaging sensors, controlled by a user-friendly interface. The data will be automatically referenced and processed on a cloud platform. Radiative transfer and deep learning algorithms will be implemented to transform the acquired images into agronomic variables of interest. A small series of LITERAL systems will be produced and taken in hand by the partners to evaluate it on different cases of studies and to prepare its industrialization.
The expected results of the project are:
Various recovery routes are planned: