News

Our lab joined the PHENET workshop at INRAE Montpellier to exchange ideas on phenotyping infrastructure, standards, and AI-ready data pipelines for scalable crop monitoring.

DeepSpecN combines PROSPECT-PRO simulations with Conv-Transformer models to estimate leaf nitrogen content from hyperspectral reflectance, eliminating the need for field data collection while achieving unprecedented accuracy.