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

Publication date

2023-10-06



Abstract

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.

Document Type

Article

Document version

Published version

Language

English

Pages

7

Publisher

Elsevier

Published in

SoftwareX

Grant Agreement Number

MICIU/Programa Estatal de I+D+I orientada a los retos de la sociedad/RTI2018-094222-B-100/ES/Tecnologías de agricultura de precisión para optimizar el manejo de dosel foliar y la protección fitosanitaria sostenible en plantaciones de frutales/PAgFRUIT

MICINN/Programa Estatal para impulsar la investigación científico-técnica y su transferencia/PID2021-126648OB-100/ES/Protección de cultivos de precisión para conseguir objetivos del Pacto Verde Europeo en uso eficiente y reducción de fitosanitarios mediate Agricultura de Precisión/PAgPROTECT

Recommended citation

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.

Rights

Attribution 4.0 International

Attribution 4.0 International

This item appears in the following Collection(s)