Pablo Barreiro
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Enhancing tree seed germination prediction with image-driven machine learning models.
Abstract 1. Tree planting is crucial for reversing deforestation and meeting net zero targets, requiring a reliable supply of high-quality seeds. Efficient use of limited native seeds can be promoted by sorting methods, but traditional techniques commonly used for agricultural species are often unsuitable for tree seeds due to their high trait variability. 2. Here, we explored the potential of combining image analysis with machine learning models to improve tree seed sorting outcomes.
Sonoran Desert ex situ conservation gap analysis: charting the path towards conservation
Abstract Plant biodiversity is under threat. With two out of five plants at risk of extinction, preserving taxa through ex situ conservation approaches must be considered a priority. The Sonoran Desert (SD), a highly biodiverse ecoregion shared between Mexico and the United States is home to over 4000 native plant taxa. A method to determine conservation priorities was developed in collaboration with institutions from both countries.
Análisis de la madurez de las rúbricas para la evaluación de los Trabajos Fin de Grado en Ingeniería Informática en el ámbito universitario español
Análisis de la madurez de las rúbricas para la evaluación de los Trabajos Fin de Grado en Ingeniería Informática en el ámbito universitario español Autores: Alfonso de la Vega Ruiz, Juan María Rivas Concepción, Patricia López Martínez, Diego García Saiz, Julio Luis Medina Pasaje, Pablo Sánchez Barreiro Localización: Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), ISSN 2531-0607, Nº.
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