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Liangliang Yang1, Tomoki Noguchi1,2, Yohei Hoshino1

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科学领域:

  • 农业工程 农业工程
  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉

背景情况:

  • 葡萄收获是劳动密集型的,对效率和成本构成挑战.
  • 农业自动化对于解决劳动力短缺和提高生产率至关重要.

研究的目的:

  • 开发一个自动化的机器人收割机,用于葡萄葡萄.
  • 创建一个人工智能驱动的系统,用于精确的干部检测和切割点识别.

主要方法:

  • 采用了多摄像头系统,包括底部和手持摄像头.
  • 使用You Only Look Once (YOLO) 来进行葡萄识别的物体检测.
  • 像素级语义细分用于准确的茎检测和切割点估计.

主要成果:

  • 该系统实现了高检测精度:98%的室内和93%的室外.
  • 检测系统与葡萄收割机器人成功集成.
  • 证明了成功在户外采摘葡萄的能力.

结论:

  • 拟议的AI算法和多摄像头系统有效地自动化了葡萄收获.
  • 开发的机器人收割机显示出实际农业应用的巨大潜力.