AKFruitYield: Modular benchmarking and video analysis software for Azure Kinect cameras for fruit size and fruit yield estimation in apple orchards
Juan Carlos Miranda,
Jaume Arnó,
Jordi Gené-Mola,
Spyros Fountas,
Eduard Gregorio
Affiliations
Juan Carlos Miranda
Research Group in AgroICT & Precision Agriculture, Department of Agricultural and Forest Sciences and Engineering, Universitat de Lleida (UdL) - Agrotecnio CERCA Center, Rovira Roure 191, Lleida, Catalonia 25198, Spain; Corresponding author.
Jaume Arnó
Research Group in AgroICT & Precision Agriculture, Department of Agricultural and Forest Sciences and Engineering, Universitat de Lleida (UdL) - Agrotecnio CERCA Center, Rovira Roure 191, Lleida, Catalonia 25198, Spain
Jordi Gené-Mola
Research Group in AgroICT & Precision Agriculture, Department of Agricultural and Forest Sciences and Engineering, Universitat de Lleida (UdL) - Agrotecnio CERCA Center, Rovira Roure 191, Lleida, Catalonia 25198, Spain; Efficient Use of Water in Agriculture Program, Fruitcentre, Parc Científic I Tecnològic Agroalimentari de Gardeny (PCiTAL), Institute of AgriFood Research and Technology (IRTA), Lleida, Catalonia 25003, Spain
Spyros Fountas
Agricultural University of Athens, Iera Odos 75, Athina 118 55, Greece
Eduard Gregorio
Research Group in AgroICT & Precision Agriculture, Department of Agricultural and Forest Sciences and Engineering, Universitat de Lleida (UdL) - Agrotecnio CERCA Center, Rovira Roure 191, Lleida, Catalonia 25198, Spain
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.
