Improving the determination of plant characteristics by fusion of four different sensors

M. Weis; D. Andújar; G.G. Peteinatos; R. Gerhards

Improving the determination of plant characteristics by fusion of four different sensors

In: Precision agriculture '13

Authors:

M. Weis

M. Weis University of Hohenheim, Department of Weed Science, Otto-Sander-Str. 5, 70199 Stuttgart, Germany; martin.weis@uni-hohenheim.de

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D. Andújar

D. Andújar University of Hohenheim, Department of Weed Science, Otto-Sander-Str. 5, 70199 Stuttgart, Germany; martin.weis@uni-hohenheim.de

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G.G. Peteinatos

G.G. Peteinatos University of Hohenheim, Department of Weed Science, Otto-Sander-Str. 5, 70199 Stuttgart, Germany; martin.weis@uni-hohenheim.de

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, and

R. Gerhards

R. Gerhards University of Hohenheim, Department of Weed Science, Otto-Sander-Str. 5, 70199 Stuttgart, Germany; martin.weis@uni-hohenheim.de

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Type:: Chapter

Pages:: 63–69

DOI:: https://doi.org/10.3920/9789086867783_008

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Many different sensors have been proposed to estimate plant status parameters like nutrition status, coverage or plant size. Such parameters are key factors for precise management. This study combined four different sensors in a field trial with spring barley and oil seed rape. The following commercial sensors were used: LiDAR, spectrometer, ultrasonic device, and a commercial opto-electronic device. Spectral indices were calculated from the spectrometer and opto-electronic devices, and plant height from the ultrasonic and LiDAR sensors. A robotic software framework was used for simultaneous measurements with multiple sensors. The fusion of features from multiple sensors permitted the estimation of health status parameters for sensitive plants in a herbicide stress trial.

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Precision agriculture '13

E-Book ISBN:: 9789086867783

Publisher:: Wageningen Academic

Print Publication Date:: 01 Nov 2013

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Improving the determination of plant characteristics by fusion of four different sensors

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Precision agriculture '13

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