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Assessing automatic data processing algorithms for RGB-D cameras to predict fruit size and weight in apples
(Elsevier, 2023-10-07)
Data acquired using an RGB-D Azure Kinect DK camera were used to assess different automatic algorithms to estimate the size, and predict the weight of non-occluded and occluded apples. The programming ...
Fruit sizing using AI: A review of methods and challenges
(Elsevier, 2023-09-23)
Fruit size at harvest is an economically important variable for high-quality table fruit production in orchards and vineyards. In addition, knowing the number and size of the fruit on the tree is essential ...
Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation
(Elsevier, 2023-04-21)
The detection and sizing of fruits with computer vision methods is of interest because it provides relevant information to improve the management of orchard farming. However, the presence of partially ...
Simultaneous fruit detection and size estimation using multitask deep neural networks
(Elsevier, 2023-08-06)
The measurement of fruit size is of great interest to estimate the yield and predict the harvest resources in advance. This work proposes a novel technique for in-field apple detection and measurement ...
AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation
(Elsevier, 2023-12-30)
The present dataset comprises a collection of RGB-D apple tree images that can be used to train and test computer vision-based fruit detection and sizing methods. This dataset encompasses two distinct ...
AKFruitYield: Modular benchmarking and video analysis software for Azure Kinect cameras for fruit size and fruit yield estimation in apple orchards
(Elsevier, 2023-10-06)
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) ...