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Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks
Summarized, the presented approach is a promising strategy in order to predict yield potential automatically in the earliest stage of grapevine development which is applicable for objective monitoring and evaluations of breeding material, genetic repositories or commercial vineyards.
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