Next Article in Journal
Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix
Next Article in Special Issue
The Electronic McPhail Trap
Previous Article in Journal
Effect of CSA Concentration on the Ammonia Sensing Properties of CSA-Doped PA6/PANI Composite Nanofibers
Previous Article in Special Issue
An SVM-Based Classifier for Estimating the State of Various Rotating Components in Agro-Industrial Machinery with a Vibration Signal Acquired from a Single Point on the Machine Chassis
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(11), 21466-21482; doi:10.3390/s141121466

High Speed Stereovision Setup for Position and Motion Estimation of Fertilizer Particles Leaving a Centrifugal Spreader

1
Institute of Agricultural and Fisheries Research, Burg. van Gansberghelaan 115, Merelbeke 9820, Belgium
2
Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, boulevard du Docteur Petitjean 26, Dijon 21079, France
3
Laboratoire d'Etude de l'Apprentissage et du Developpement, University of Burgundy, Esplanade Erasme 11, Dijon 21000, France
4
Department of Biosystems Engineering, Ghent University, Coupure links 653, Gent 9000, Belgium
*
Author to whom correspondence should be addressed.
Received: 22 September 2014 / Revised: 28 October 2014 / Accepted: 31 October 2014 / Published: 13 November 2014
(This article belongs to the Special Issue Agriculture and Forestry: Sensors, Technologies and Procedures)
View Full-Text   |   Download PDF [657 KB, uploaded 13 November 2014]   |  

Abstract

A 3D imaging technique using a high speed binocular stereovision system was developed in combination with corresponding image processing algorithms for accurate determination of the parameters of particles leaving the spinning disks of centrifugal fertilizer spreaders. Validation of the stereo-matching algorithm using a virtual 3D stereovision simulator indicated an error of less than 2 pixels for 90% of the particles. The setup was validated using the cylindrical spread pattern of an experimental spreader. A 2D correlation coefficient of 90% and a Relative Error of 27% was found between the experimental results and the (simulated) spread pattern obtained with the developed setup. In combination with a ballistic flight model, the developed image acquisition and processing algorithms can enable fast determination and evaluation of the spread pattern which can be used as a tool for spreader design and precise machine calibration. View Full-Text
Keywords: stereovision; motion estimation; fertilizer; centrifugal spreader stereovision; motion estimation; fertilizer; centrifugal spreader
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hijazi, B.; Cool, S.; Vangeyte, J.; Mertens, K.C.; Cointault, F.; Paindavoine, M.; Pieters, J.G. High Speed Stereovision Setup for Position and Motion Estimation of Fertilizer Particles Leaving a Centrifugal Spreader. Sensors 2014, 14, 21466-21482.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top