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20102026
most citedCurrent knowledge and future research opportunities for modeling annual crop mixtures. A review

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cs.AI2025

Kriging and Gaussian Process Interpolation for Georeferenced Data Augmentation

Frédérick Fabre Ferber, Dominique Gay, Jean-Christophe Soulié +2

Data augmentation is a crucial step in the development of robust supervised learning models, especially when dealing with limited datasets. This study explores interpolation techni…