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Application of 2D and 3D image technologies to characterise morphological attributes of grapevine clusters
Publicado 2020“…The classification of clusters according to their shape can be achieved by evaluating their conicity in different sections of the cluster. The geometric reconstruction of the morphological volume of the cluster from 2D features worked better than the direct 3D laser scanning system, showing a high correlation (r = 0.956) with the manual approach (water displacement method). …”
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