Abstract

Two training systems, i.e. bent and not bent, were compared for 'Fuji' variety. The topology was organized into four scales of details, including both fruits and different kinds of vegetative shoots. The geometry of each constituent was described with a few parameters that were measured in the field, and its spatial location was recorded using a 3D digitizer. Geometric parameters and spatial coordinates were considered as constituent properties and were attached to the corresponding constituents in the database. At harvest, the main usual quality parameters were analyzed for each individual fruit, and integrated into the database as variables attached to fruit entities. Three-dimensional representations of the digitized apple trees were reconstructed using AMAPmod software. The fruit quality variability within the canopy was explored a posteriori building fruit samples, according to different criteria (spatial location, topological location, number of leaves of the associated bourse-shoot) and taking advantage of the multiscale description of the tree. This approach highlighted that fruit characteristics at harvest are influenced by the vegetative growth considered at different scales within the canopy

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