使用LiDAR技术进行3D土壤作物分析的方法和应用:一项调查
Matias J Micheletto1, Carlos I Chesñevar2, Rodrigo Santos3
1Golfo San Jorge Research and Transfer Center (CIT-GSJ), CONICET, Comodoro Rivadavia 9000, Argentina.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
光探测和测距 (LiDAR) 为农业提供准确的3D作物数据. 目前的方法需要对多种类型的应用进行校准,这凸显了对可适应的LiDAR技术的需求.
科学领域:
- 农业科学 农业科学
- 遥感技术 遥感技术 遥感技术
- 地理空间分析是什么
背景情况:
- 光探测和测距 (LiDAR) 是用于精确收集农业数据的关键非破坏性技术.
- 由LiDAR生成的3D模型能够快速测量关键作物参数,如生物质和产量.
- 农业中的LiDAR应用已经大幅扩展,涵盖表型化到机器人控制.
研究的目的:
- 系统地审查和分析利用LiDAR进行3D地面作物分析的研究论文.
- 根据应用领域,作物类型,LiDAR系统和数据处理工具来分类研究.
- 确定用于精准农业的LiDAR技术的趋势,局限性和未来方向.
主要方法:
- 在2005年至2022年间发表的53篇研究论文的系统文献综述.
- 基于应用领域,作物种,LiDAR扫描仪类型和安装平台的研究分类.
- 分析与LiDAR一起使用的集成仪器和软件工具.
主要成果:
- 确定了LiDAR扫描平台的层次结构及其在农业研究中的使用频率.
- 在LiDAR部署的经济投资和获得的农学数据的质量之间建立了相关性.
- 观察到缺乏使用LiDAR进行多种作物分析的通用配置.
结论:
- 通过详细的3D作物分析,LiDAR技术为提高精准农业提供了巨大的潜力.
- 对LiDAR部署的成本效益分析有所不同,这影响了其采用率.
- 未来的研究应该专注于开发可适应的LiDAR系统和算法,以进行有效的多种作物管理和校准.
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