English(EN) Curvature-aware 3D length estimation of greenhouse cucumbers using RGB-D imaging and cubic spline arc-length integration

CucumberVision 框架使用人工智能进行非接触式长度估算

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-21 11:10

研究人员开发了一个名为 CucumberVision 的新颖框架，用于非接触式估算温室黄瓜的长度，这对于商业生产至关重要。该系统利用 Intel RealSense D435 RGB-D 摄像头，并采用 YOLO26n 模型进行分割，然后通过 SAM (ViT-B backbone) 进行优化以获得精确的掩码。一种新的内弧样条方法 (M5) 表现出更高的准确性，通过计算拟合到三维中轴的三次样条的弧长，优于其他评估技术。 AI

影响这项研究介绍了一种新颖的人工智能驱动的自动化农业测量方法，有望提高作物管理和物流的效率。

排序理由该项目描述了一篇详细介绍特定应用的新颖方法和框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Hugging Face Daily Papers TIER_1 English(EN) · 2026-06-21 11:10

利用RGB-D成像和三次样条弧长积分进行曲率感知的温室黄瓜三维长度估算

Commercial greenhouse cucumber production is graded by fruit length, which drives harvest scheduling, labour allocation, and logistics. Manual measurement with thread or caliper is accurate but infeasible at commercial scale. This paper presents CucumberVision, a non-contact leng…

本文如何被排名

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利用RGB-D成像和三次样条弧长积分进行曲率感知的温室黄瓜三维长度估算

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