SDA-YOLO: An Object Detection Method for Peach Fruits in Complex Orchard Environments

SDA-YOLO: An Object Detection Method for Peach Fruits in Complex Orchard Environments

To address the challenges of leaf–branch occlusion, fruit mutual occlusion, complex background interference, and scale variations in peach detection within complex orchard environments, this study proposes an improved YOLOv11n-based peach detection method named SDA-YOLO. First, in the backbone netwo...

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Bibliographic Details
Main Authors: Xudong Lin, Dehao Liao, Zhiguo Du, Bin Wen, Zhihui Wu, Xianzhi Tu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
YOLO
peach
multi-scale feature fusion
object detection
Online Access:https://www.mdpi.com/1424-8220/25/14/4457
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