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arXiv Machine Learning By Chiara D'Ercoli, May Levin, Pietro Li\`o

VitisGP: Multi-Task Benchmark for Genotype to Phenotype Grapevine Prediction

Read the original on arXiv Machine Learning →

arXiv:2610. 40668v1 Announce Type: cross Abstract: As climate change reshapes grape-growing conditions, predicting grapevine phenotypes from genomic variation is increasingly important for identifying and breeding cultivars suited to emerging environmental pressures.

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