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CEF-YOLOv11 method for wolfberry ripeness recognition in smart harvesting
Updated：2026-06-17
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    • CEF-YOLOv11 method for wolfberry ripeness recognition in smart harvesting

    • “Researchers proposed an improved intelligent recognition method for goji berry fruit maturity based on the YOLOv11 network framework. By embedding CBAM attention module and optimizing with Focal Loss and EIoU loss, the model recall rate reached 90.8% and mAP50 reached 90.9%, providing technical basis for the development of harvesting robot vision system.”
    • MAO Ziang , WANG Binlong , ZHANG Hanyu , LI Zhenbo
    • Journal of China Agricultural University Vol. 31, Issue 8, Pages: 172-182(2026)

    • DOI： 10.11841/j.issn.1007-4333.2026.08.15     

      CLC：

    • Accepted：07 April 2026 ，

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