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This summary is machine-generated.

A new, low-cost light detection and ranging (LiDAR) sensor accurately detects sprayer boom height (H). This sensor, ideal for autonomous systems, shows less than 5% error for crop roots and guides boom height adjustments for efficient spraying.

Keywords:
K-means clusteringboom height controlboom sprayerwheat stubblewheat stubble root

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Area of Science:

  • Agricultural Engineering
  • Sensor Technology
  • Precision Agriculture

Background:

  • Sprayer boom height (H) is critical for droplet deposition and distribution.
  • Automated H control systems require accurate H detection sensors.
  • Existing sensors may have limitations in cost or performance.

Purpose of the Study:

  • To develop and evaluate a novel, low-cost light detection and ranging (LiDAR) sensor for H detection.
  • To assess the sensor's performance in various conditions, including wheat stubble (WS).
  • To compare the LiDAR sensor's performance against an ultrasonic sensor.

Main Methods:

  • Single-point ranging principle for LiDAR sensor development.
  • Step height, field ground, and WS height detection experiments.
  • Comparative analysis with an ultrasonic sensor.

Main Results:

  • The LiDAR sensor demonstrated capability for H detection.
  • Detection accuracy for WS roots was under 5.00%, while for the WS canopy it exceeded 8.00%.
  • Sensor performance was influenced by H and movement speed (V), particularly for the WS canopy.

Conclusions:

  • The developed LiDAR sensor is a viable option for H detection in agricultural spraying.
  • A method for adjusting H using LiDAR detection of WS roots and canopy height was proposed.
  • Findings support advancements in boom height detection and autonomous control systems.