2026-04-17T20:33:49Zhttps://recercat.cat/oai/request
oai:recercat.cat:20.500.12327/24632025-10-22T11:34:07Zcom_2072_4428com_2072_4427col_2072_487898
RECERCAT author Miranda, Juan Carlos author Arnó, Jaume author Gené-Mola, Jordi author Fountas, Spyros author Gregorio, Eduard other Producció Vegetal group Ús Eficient de l'Aigua en Agricultura 2025-10-22T11:34:07Z 2025-10-22T11:34:07Z 2023-10-06 Miranda, Juan Carlos, Jaume Arnó, Jordi Gené-Mola, Spyros Fountas, and Eduard Gregorio. 2023. “AKFruitYield: Modular Benchmarking and Video Analysis Software for Azure Kinect Cameras for Fruit Size and Fruit Yield Estimation in Apple Orchards.” SoftwareX 24 (December): 101548. doi:10.1016/j.softx.2023.101548. 2352-7110 http://hdl.handle.net/20.500.12327/2463 https://doi.org/10.1016/j.softx.2023.101548 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. eng Attribution 4.0 International AKFruitYield: Modular benchmarking and video analysis software for Azure Kinect cameras for fruit size and fruit yield estimation in apple orchards info:eu-repo/semantics/article