Fallen apple detection as an auxiliary task: Boosting robotic apple detection performance through multi-task learning

Fallen apple detection as an auxiliary task: Boosting robotic apple detection performance through multi-task learning

In modern agricultural practices, advanced machine learning techniques play a pivotal role in optimizing yields and management. A significant challenge in orchard management is detecting apples on trees, which is essential for effective harvest planning and yield estimation. The YOLO series, especia...

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Bibliographic Details
Main Authors: Jiayi Zhao, Aldo Lipani, Calogero Schillaci
Format: Article
Language:English
Published: Elsevier 2024-08-01
Series:Smart Agricultural Technology
Subjects:
Automatic agriculture
Deep learning
Detection of orchard apple
YOLOv8 model
Data augmentation techniques
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524000418

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http://www.sciencedirect.com/science/article/pii/S2772375524000418

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