AKFruitYield: Modular benchmarking and video analysis software for Azure Kinect cameras for fruit size and fruit yield estimation in apple orchards

Autor: Juan Carlos Miranda, Jaume Arnó, Jordi Gené-Mola, Spyros Fountas, Eduard Gregorio
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: SoftwareX, Vol 24, Iss , Pp 101548- (2023)
Druh dokumentu: article
ISSN: 2352-7110
DOI: 10.1016/j.softx.2023.101548
Popis: AKFruitYield is a modular software that allows orchard data from RGB-D Azure Kinect cameras to be processed for fruit size and fruit yield estimation. Specifically, two modules have been developed: i) AK_SW_BENCHMARKER that makes it possible to apply different sizing algorithms and allometric yield prediction models to manually labelled color and depth tree images; and ii) AK_VIDEO_ANALYSER that analyses videos on which to automatically detect apples, estimate their size and predict yield at the plot or per hectare scale using the appropriate algorithms. Both modules have easy-to-use graphical interfaces and provide reports that can subsequently be used by other analysis tools.
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