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Weed identification and localization in corn seedling fields based on YOLOv8n
Updated：2026-06-17
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    • Weed identification and localization in corn seedling fields based on YOLOv8n

    • “Researchers have developed a CSW-YOLOv8n seedling grass recognition model to address the challenges of weed recognition and localization in laser weeding robots. They have proposed a visual localization method based on OAK-D-S2-PoE depth cameras, with an average absolute error of 12 mm and a simulated weeding success rate of 83%. This provides a solution to the problem of precise weeding in maize seedlings during the field.”
    • GUO Jingran , MA Yanhua , LIU Wen , HAN Lei , XU Wentao
    • Journal of China Agricultural University Vol. 31, Issue 8, Pages: 158-171(2026)

    • DOI： 10.11841/j.issn.1007-4333.2026.08.14     

      CLC：

    • Accepted：25 February 2026 ，

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