使用飞行时间和LiDAR深度摄像头进行葡萄成熟度估计
Mathew Legg1, Baden Parr1, Genevieve Pascual1
1Department of Mechanical and Electrical Engineering, Massey University, Auckland 0632, New Zealand.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
低成本的深度摄像头,包括飞行时间和LiDAR,可以估计收获后的绿色桌面葡萄的成熟度. 随着葡萄的老化,深度扫描中的距离偏差增加,可以准确地预测它们的成熟度,而不是破坏性.
科学领域:
- 农业技术 农业技术
- 计算机视觉 计算机视觉
- 园艺园艺 园艺园艺
背景情况:
- 准确的收获后成熟度评估对于食用葡萄的质量至关重要.
- 传统的方法可能是破坏性的或劳动密集型的.
- 为了有效的质量控制,需要非接触性,非破坏性方法.
研究的目的:
- 评估使用低成本深度摄像机用于估计收获后绿色桌面葡萄成熟度的可行性.
- 为了研究深度扫描数据和葡萄老化之间的关系.
主要方法:
- 利用飞行时间 (Kinect Azure) 和 LiDAR (英特尔 L515) 深度摄像头来捕捉果扫描.
- 分析深度扫描数据以查看随时间变化的形状和距离偏差.
- 量化了观察到的距离偏差和葡萄成熟度之间的相关性.
主要成果:
- 深度扫描显示,随着葡萄因光散射而老化,距离偏差增加.
- 距离偏差变化与时间有很好的相关性,R2值为0.969 (Kinect Azure) 和0.904 (Intel L515).
- 深度扫描数据中的一个平坦的峰值表明葡萄成熟度增加.
结论:
- 飞行时间和LiDAR摄像机显示了无接触,无破坏性葡萄成熟度估计的巨大潜力.
- 深度摄像技术为葡萄种植的收获后质量评估提供了一个有前途的途径.
- 这种方法可以带来更好的质量控制和减少葡萄行业的浪费.
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