Instance Segmentation of Sugar Apple (<i>Annona squamosa</i>) in Natural Orchard Scenes Using an Improved YOLOv9-seg Model

Instance Segmentation of Sugar Apple (<i>Annona squamosa</i>) in Natural Orchard Scenes Using an Improved YOLOv9-seg Model

Sugar apple (<i>Annona squamosa</i>) is prized for its excellent taste, rich nutrition, and diverse uses, making it valuable for both fresh consumption and medicinal purposes. Predominantly found in tropical regions of the Americas and Asia, its harvesting remains labor-intensive in orch...

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Bibliographic Details
Main Authors: Guanquan Zhu, Zihang Luo, Minyi Ye, Zewen Xie, Xiaolin Luo, Hanhong Hu, Yinglin Wang, Zhenyu Ke, Jiaguo Jiang, Wenlong Wang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agriculture
Subjects:
deep learning
computer vision
YOLOv9-seg
sugar apple (<i>Annona squamosa</i>)
Online Access:https://www.mdpi.com/2077-0472/15/12/1278
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