0000000000617239

AUTHOR

Jürgen Vangeyte

showing 8 related works from this author

Characterisation of centrifugal spreaders : from collection trays to high speed stereovision

2016

AgrosupEAGEAPSICT1; Presenting Author Jürgen Vangeyte - ILVO, Agricultural Engineering, Belgium Description Precision fertilization requires accurate techniques for determining the spread pattern of centrifugal fertilizer spreaders. Traditionally, the spread pattern was determined by measuring the fertilizer distribution on the ground. Because such measurements are time consuming and complex, a high speed stereovision setup and dedicated image processing algorithms were developed for position and motion estimation of fertilizer grains leaving a centrifugal spreader. The measurements are combined with a ballistic flight model to predict the landing points of the individual grains and the act…

[SDV] Life Sciences [q-bio][ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]
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A 3-D stereovision simulator for centrifugal fertilizer granule spreading

2012

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV]Life Sciences [q-bio][SDE]Environmental SciencesComputingMilieux_MISCELLANEOUS
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High Speed Stereovision Setup for Position and Motion Estimation of Fertilizer Particles Leaving a Centrifugal Spreader

2014

EA SPE GEAPSI; International audience; 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 obtai…

Technology and Engineering[SDV]Life Sciences [q-bio]Video RecordingCentrifugationlcsh:Chemical technologyArticleSPINNING DISC SPREADERmotion estimationMotionImaging Three-DimensionalArtificial Intelligencelcsh:TP1-1185[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringFertilizersstereovisionstereovision;motion estimation;fertilizer;centrifugal spreader[ SDV ] Life Sciences [q-bio][ SPI.GPROC ] Engineering Sciences [physics]/Chemical and Process EngineeringAgriculturefertilizerSIMULATION-MODELPATTERNcentrifugal spreaderentrifugal spreaderVELOCITIESRheologySensors
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Two-step cross correlation-based algorithm for motion estimation applied to fertilizer granules' motion during centrifugal spreading

2011

Imaging systems are progressing in both accuracy and ro- bustness, and their use in precision agriculture is increasing accordingly. One application of imaging systems is to understand and control the cen- trifugal fertilizing spreading process. Predicting the spreading pattern on the ground relies on an estimation of the trajectories and velocities of ejected granules. The algorithms proposed to date have shown low ac- curacy, with an error rate of a few pixels. But a more accurate estimation of the motion of the granules can be achieved. Our new two-step cross- correlation-based algorithm is based on the technique used in particle image velocimetry (PIV), which has yielded highly accurate…

fluid mechanicsImage processing01 natural sciences010305 fluids & plasmas010309 opticsmotion estimationMotion estimationcameras0103 physical sciencesComputer visionImage sensorMathematicsCross-correlationPixelbusiness.industrycentrifugesGeneral EngineeringfertilisersFluid mechanicsSubpixel renderingAtomic and Molecular Physics and Opticsimage processingParticle image velocimetryvelocimetersArtificial intelligencebusinessAlgorithm
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Development of a High Irradiance LED Configuration for Small Field of View Motion Estimation of Fertilizer Particles

2015

International audience; Better characterization of the fertilizer spreading process, especially the fertilizer pattern distribution on the ground, requires an accurate measurement of individual particle properties and dynamics. Both 2D and 3D high speed imaging techniques have been developed for this purpose. To maximize the accuracy of the predictions, a specific illumination level is required. This paper describes the development of a high irradiance LED system for high speed motion estimation of fertilizer particles. A spectral sensitivity factor was used to select the optimal LED in relation to the used camera from a range of commercially available high power LEDs. A multiple objective …

Technology and EngineeringLightIrradianceengineering.materiallcsh:Chemical technologyBiochemistryArticleAnalytical Chemistrylaw.inventionLED illuminationOpticsImaging Three-DimensionallawSPREADERMotion estimationGenetic algorithmRange (statistics)genetic algorithmlcsh:TP1-1185[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsElectrical and Electronic EngineeringFertilizersInstrumentationLightingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryProcess (computing)AgricultureLED illumination; genetic algorithm; fertilizerLED illumination;genetic algorithm;fertilizerfertilizerAtomic and Molecular Physics and OpticsSIMULATIONSARRAYSSpectral sensitivityengineering[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsFertilizerbusinessAERODYNAMIC PROPERTIES[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithmsLight-emitting diode
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A 3-D simulation with virtual stereo rig for centrifugal fertilizer spreading

2012

International audience; Stereovision can be used to characterize of the fertilizer centrifugal spreading process and to control the spreading fertilizer distribution pattern on the ground reference. Fertilizer grains, however, resemble each other and the grain images contain little information on texture. Therefore, the accuracy of stereo matching algorithms in literature cannot be used as a reference for stereo images of fertilizer grains. In order to evaluate stereo matching algorithms applied to images of grains a generator of synthetic stereo particle images is presented in this paper. The particle stereo image generator consists of two main parts: the particle 3D position generator and…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesfertilizer centrifugal spreader[SDV]Life Sciences [q-bio][SDE]Environmental SciencesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyGeneralLiterature_MISCELLANEOUSstereovisionComputingMethodologies_COMPUTERGRAPHICSimage processing
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Predicting spread patterns of centrifugal fertiliser spreaders

2014

International audience; Nowadays farmers recognize the importance of a correct and precise fertiliser application: non-uniform spread patterns cause extra pressure on the environment and might result in economic losses for the farmer. In Europe most spreading is done by centrifugal fertilizer spreaders but their spreading process is not easy to monitor and to control. To perform a precise fertilising farmers need proper tools to determine and evaluate the spread pattern at farm level. Therefore the Flemish Institute for Agricultural and Fisheries Research (ILVO) is exploring and developing a fast and accurate technique for measuring the spread pattern of conventional centrifugal spreaders. …

[SDE] Environmental Sciences[SDV]Life Sciences [q-bio]spread patternimage techniques[INFO.INFO-ES] Computer Science [cs]/Embedded Systemsballistic flight;fertiliser[SDV] Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologycross correlation[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsComputingMilieux_MISCELLANEOUS
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Spray droplet characteristics measured using high speed imaging techniques

2016

Presented at Conference International Advances in Pesticide Application (IAPA), Barcelone, ESP (2016-01-13 - 2016-01-15).; International audience; Spray droplet characteristics are important features of an agricultural spray. The objective of this study is to measure the droplet size for different types of hydraulic spray nozzles using a developed backlighted image acquisition system and image processing technique. An in-focus droplet criterion was established to decide whether a droplet is in focus and can be measured in an accurate way. Tests included five different nozzles (Albuz ATR orange and red, TeeJet XR 110 01, XR 110 04 and Al 110 04).

[SDE] Environmental Sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciences[SDV]Life Sciences [q-bio]droplet generatorspray characterisationdroplet size[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SDV] Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyhigh speed imaging[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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