Evaluation of Object Surface Edge Profiles Detected with a 2-D Laser Scanning Sensor
Tingting Yan1,2, Xiaochan Wang3, Heping Zhu4
1College of Engineering, Nanjing Agricultural University, Nanjing 210031, China. tingting.yan@ars.usda.gov.
Sensors (Basel, Switzerland)
|November 25, 2018
Summary
A high-speed laser sensor accurately detects plant canopy edge profiles for variable-rate spray systems. This research provides baseline data for improving agricultural application efficiencies.
Area of Science:
- Agricultural Engineering
- Robotics
- Sensor Technology
Background:
- Accurate plant recognition is crucial for precision agriculture, particularly in variable-rate spray control systems.
- Detecting canopy edge profiles enables targeted application of pesticides, irrigation, and nutrients, optimizing resource use.
Purpose of the Study:
- To evaluate the accuracy of a high-speed 270° radial laser sensor for detecting surface edge profiles of complex-shaped objects.
- To provide baseline data for integrating laser sensors into greenhouse variable-rate spray systems.
Main Methods:
- A high-speed 270° radial laser sensor was used to detect edge profiles of six diverse objects, including artificial plants.
- Data was collected at various detection heights, sensor travel speeds, and horizontal distances.
- Reconstructed 3-D images were compared with digital camera images using an edge similarity score (ESS).
Main Results:
- The laser sensor demonstrated varying accuracy in detecting edge profiles, with an overall average ESS ranging from 0.38 to 0.95.
- Horizontal object distances significantly affected ESS, with closer proximity reducing influence.
- Detection heights and sensor travel speeds had a minor impact on ESS.
Conclusions:
- The high-speed laser sensor shows potential for accurate canopy edge profile detection in agricultural applications.
- Findings offer foundational data for developing advanced variable-rate spray systems to enhance application efficiencies.
- Further integration into automated systems can improve precision in pesticide, irrigation, and nutrition delivery.
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