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Vehicle based laser range finding in crops
Detlef Ehlert1, Rolf Adamek, Hans-Juergen Horn
1Leibniz-Institute for Agricultural Engineering Potsdam-Bornim, Max-Eyth-Allee 100, 14469 Potsdam, Germany; E-Mails: radamek@atb-potsdam.de ; jhorn@atb-potsdam.de.
Low-cost laser rangefinders can measure crop parameters for agricultural optimization. Despite reduced accuracy at longer distances, field tests show their potential for production process improvements.
Area of Science:
- Agricultural Engineering
- Remote Sensing Technology
- Optics and Photonics
Background:
- Laser rangefinders and scanners are vital for industrial and remote sensing applications.
- Accurate crop parameter measurement (volume, height, density) is crucial for optimizing agricultural production.
- Previous studies focused on low-cost laser rangefinders for short-range agricultural measurements.
Purpose of the Study:
- To assess the measurement properties of a low-cost laser rangefinder under challenging agricultural conditions.
- To evaluate the sensor's accuracy and suitability for vehicle-based crop parameter measurement.
- To provide insights for selecting or developing laser rangefinder sensors for precision agriculture.
Main Methods:
- Laboratory tests under controlled conditions to evaluate sensor performance.
- Field tests in real agricultural settings to assess practical usability.
- Analysis of measurement accuracy considering factors like range and target size.
Main Results:
- Lab tests indicated reduced measurement accuracy with increasing range due to beam spread.
- Challenges arise from small target areas and beam interaction with crop edges.
- Successful field deployment demonstrated the sensor's potential for agricultural applications.
Conclusions:
- Low-cost laser rangefinders, despite accuracy limitations, show promise for agricultural applications.
- The study facilitates informed decisions in choosing or developing sensors for crop parameter monitoring.
- Vehicle-based laser rangefinder systems can contribute to optimizing agricultural production processes.
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