Martin Ecarnot

This paper demonstrates that UAV-based phenomic selection can predict field performance of nursery-grown maize and pea genotypes without genotyping.

This study evaluates if herbarium leaf reflectance spectra can reliably identify Annonaceae species under limited sample size conditions using multiple classification models.

This study applies phenomic prediction to grapevine using spectra to predict 15 traits, finding comparable predictive ability to genomic prediction across traits and populations.