用iPhone 13 Pro进行摄像度和激光雷达扫描:准确性,精度和子树上的现场应用
Elèna Grobler1,2, Giuseppe Celano2
1School in Agricultural, Forest and Food Sciences, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
智能手机3D扫描为果树结构分析提供了低成本的解决方案. 这种方法为精准农业提供了准确的测量,改善了作物监测和管理.
科学领域:
- 农业工程 农业工程
- 遥感 遥感 遥感 遥感
- 园艺园艺 园艺园艺
背景情况:
- 精密水果种植需要准确的树木结构数据,以优化管理.
- 传统的测量方法是劳动密集型的,容易出现错误.
- 像陆地激光扫描 (TLS) 和无人机摄像度等先进技术是昂贵的,并且在操作上受到限制.
研究的目的:
- 为了评估低成本智能手机 (iPhone 13 Pro) 带有LiDAR和RGB摄像头用于3D果树扫描的性能.
- 评估基于智能手机的结构和形态参数3D扫描的准确性和精度.
- 确定这项技术在常规果园监测中的现场适用性.
主要方法:
- 使用了一个iPhone 13 Pro,在LiDAR和光度计 (照片) 模式中使用了Polycam©应用程序.
- 扫描的圆柱形目标,以对已知的尺寸进行准确和精确的评估.
- 将该方法应用于子树,测量高度,茎直径和叶面积.
主要成果:
- 摄影计量模式实现了结构测量的高精度 (系统误差为0.007 m,R2 = 0.99).
- 智能手机扫描显示与手动叶面积测量有很强的一致性 (R2 = 0.93).
- 证明了果树特征的实际实地应用.
结论:
- 基于智能手机的3D扫描为果树结构分析提供了一个可行的,具有成本效益的替代方案.
- 这项技术支持高效的作物监测和精准农业实践.
- 能够在果园中获得高分辨率的3D数据收集.
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