Virgilio Freitas

The paper develops a UAV-based imaging pipeline to predict plant density in wheat and pea crops, showing high heritability across diverse intercropping scenarios.

This study evaluates phenomic and genomic selection for pea yield traits, finding that integrating spectral and molecular data improves prediction accuracy for complex traits.

This paper evaluates high-throughput tools for predicting leaf traits in grapevines under different water conditions, finding spectroscopy and poro-fluorometry effective for trait prediction and heritability estimation.