Going for 2D or 3D? : investigating various machine learning approaches for peach variety identification

Anna Wróbel, Gregory Gygax, Andi Schmid & Thomas Ott
Machine learning-based pattern recognition methods are about to revolution-ize the farming sector. For breeding and cultivation purposes, the identifica-tion of plant varieties is a particularly important problem that involves spe-cific challenges for the different crop species. In this contribution, we con-sider the problem of peach variety identification for which alternatives to DNA-based analysis are being sought. While a traditional procedure would suggest using manually designed shape descriptors as the basis for classifica-tion, the technical developments...
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