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Performance evaluation of off-shelf range sensors for in-field crop height measurement

机译：用于田间作物高度测量的现成范围传感器的性能评估

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摘要

Height is a good indicator of plant growing status and also a predictor of yield potential. An automatic plant height sensing system can save time and labor costs. The objectives of this study were to evaluate the performance of three range sensing technologies including ultrasonic sensor, laser range finder, and range camera on plant height measurement, and to recommend an approach which has potential of realizing infield by-plant height measurement. Data acquisition systems were developed to control sensors and collect data both during laboratory and field tests. Sensing objects were corns and sorghums at early growth stages. Data and image processing algorithms were developed for height information extraction, by-plant recognition, and error calculation. The errors between manually measured ground truths and sensor measurements using ultrasonic sensor, laser range finder, and range camera were 16.2%, 12.4% and 18.9%, respectively. The ultrasonic sensor featured with low cost, robust in-field performance; however, it was too sensitivity to the orientation of sensing surface. The laser range finder gave the highest measurement accuracy and was robust and stable in field application. Though it can hardly give the by-plant information by itself because of its line scan nature, it had the potential of realizing by-plant height measurement by being used together with other techniques such as side-view sensing. The range camera had the lowest accuracy which might largely due to the errors induced in the image registration process. It was also very sensitive to the outdoor sunlight and needed proper shading. However, if a good by-plant top-view recognition algorithm could be developed, the range camera has the potential of realizing by-plant height measurement if only one sensor would be used to sense from the top view.
机译：身高是植物生长状态的良好指标，也是单产潜力的预测指标。自动植物高度感应系统可以节省时间和人工成本。这项研究的目的是评估三种距离感测技术（包括超声波传感器，激光测距仪和距离相机）在植物高度测量中的性能，并推荐一种有可能实现田间逐株高度测量的方法。开发了数据采集系统来控制传感器并在实验室和现场测试期间收集数据。敏感的对象是生长初期的玉米和高粱。开发了用于高度信息提取，副厂识别和误差计算的数据和图像处理算法。手动测量的地面真相与使用超声波传感器，激光测距仪和测距相机进行的传感器测量之间的误差分别为16.2％，12.4％和18.9％。超声波传感器具有低成本，强大的现场性能；但是，它对感应表面的方向过于敏感。激光测距仪可提供最高的测量精度，并且在现场应用中既坚固又稳定。尽管由于其线扫描特性，它几乎不能单独提供工厂信息，但它有可能与其他技术（如侧视图感应）一起使用来实现工厂高度测量。测距相机的精度最低，这可能主要是由于图像配准过程中产生的误差所致。它对室外的阳光也非常敏感，需要适当的遮蔽。但是，如果可以开发出良好的工厂旁视识别算法，那么如果仅使用一个传感器从顶视进行感测，则测距相机具有实现工厂外高度测量的潜力。

著录项

  • 作者

    Shi, Yeyin.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Agricultural engineering.
  • 学位 M.S.
  • 年度 2009
  • 页码 95 p.
  • 总页数 95
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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