The Experts below are selected from a list of 5142 Experts worldwide ranked by ideXlab platform
Jan Pieters - One of the best experts on this subject based on the ideXlab platform.
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Development of a Stereovision-Based Technique to Measure the Spread Patterns of Granular Fertilizer Spreaders
Sensors, 2017Co-Authors: Simon Cool, D. Nuyttens, Jan Pieters, Dejan Seatovic, Koen Mertens, Tim Van De Gucht, Jürgen VangeyteAbstract:Centrifugal fertilizer Spreaders are by far the most commonly used granular fertilizer spreader type in Europe. Their spread pattern however is error-prone, potentially leading to an undesired distribution of particles in the field and losses out of the field, which is often caused by poor calibration of the spreader for the specific fertilizer used. Due to the large environmental impact of fertilizer use, it is important to optimize the spreading process and minimize these errors. Spreader calibrations can be performed by using collection trays to determine the (field) spread pattern, but this is very time-consuming and expensive for the farmer and hence not common practice. Therefore, we developed an innovative multi-camera system to predict the spread pattern in a fast and accurate way, independent of the spreader configuration. Using high-speed stereovision, ejection parameters of particles leaving the spreader vanes were determined relative to a coordinate system associated with the spreader. The landing positions and subsequent spread patterns were determined using a ballistic model incorporating the effect of tractor motion and wind. Experiments were conducted with a commercial spreader and showed a high repeatability. The results were transformed to one spatial dimension to enable comparison with transverse spread patterns determined in the field and showed similar results.
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Comparison of different spread pattern determination techniques
Precision Agriculture, 2015Co-Authors: Simon Cool, Jürgen Vangeyte, Jan Pieters, Tim Van De Gucht, Bart Sonck, Jonas Van Damme, Koen MertensAbstract:Traditionally, the performance of fertilizer Spreaders is assessed using a row of collection trays aligned perpendicular to the driving direction of the tractor. For precise calibration of the spreader this technique, however, does not provide adequate insight into the spreading process since particle distributions are measured in only one spatial dimension. In this paper, two different two dimensional spread pattern determination techniques (SPDT) were tested, each consisting of a sampling method and a matching interpolation algorithm. Tests were executed under similar conditions with three commonly used types of fertilizer (CAN, NPK, KCl) with different physical properties. Results were compared with the traditional technique. The differences found illustrate the importance of using an adequate SPDT to compare spread patterns.
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high speed stereovision setup for position and motion estimation of fertilizer particles leaving a centrifugal spreader
Sensors, 2014Co-Authors: Bilal Hijazi, Simon Cool, Frédéric Cointault, Jürgen Vangeyte, Koen Mertens, Michel Paindavoine, Jan PietersAbstract: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.
Jürgen Vangeyte - One of the best experts on this subject based on the ideXlab platform.
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Development of a Stereovision-Based Technique to Measure the Spread Patterns of Granular Fertilizer Spreaders
Sensors, 2017Co-Authors: Simon Cool, D. Nuyttens, Jan Pieters, Dejan Seatovic, Koen Mertens, Tim Van De Gucht, Jürgen VangeyteAbstract:Centrifugal fertilizer Spreaders are by far the most commonly used granular fertilizer spreader type in Europe. Their spread pattern however is error-prone, potentially leading to an undesired distribution of particles in the field and losses out of the field, which is often caused by poor calibration of the spreader for the specific fertilizer used. Due to the large environmental impact of fertilizer use, it is important to optimize the spreading process and minimize these errors. Spreader calibrations can be performed by using collection trays to determine the (field) spread pattern, but this is very time-consuming and expensive for the farmer and hence not common practice. Therefore, we developed an innovative multi-camera system to predict the spread pattern in a fast and accurate way, independent of the spreader configuration. Using high-speed stereovision, ejection parameters of particles leaving the spreader vanes were determined relative to a coordinate system associated with the spreader. The landing positions and subsequent spread patterns were determined using a ballistic model incorporating the effect of tractor motion and wind. Experiments were conducted with a commercial spreader and showed a high repeatability. The results were transformed to one spatial dimension to enable comparison with transverse spread patterns determined in the field and showed similar results.
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Comparison of different spread pattern determination techniques
Precision Agriculture, 2015Co-Authors: Simon Cool, Jürgen Vangeyte, Jan Pieters, Tim Van De Gucht, Bart Sonck, Jonas Van Damme, Koen MertensAbstract:Traditionally, the performance of fertilizer Spreaders is assessed using a row of collection trays aligned perpendicular to the driving direction of the tractor. For precise calibration of the spreader this technique, however, does not provide adequate insight into the spreading process since particle distributions are measured in only one spatial dimension. In this paper, two different two dimensional spread pattern determination techniques (SPDT) were tested, each consisting of a sampling method and a matching interpolation algorithm. Tests were executed under similar conditions with three commonly used types of fertilizer (CAN, NPK, KCl) with different physical properties. Results were compared with the traditional technique. The differences found illustrate the importance of using an adequate SPDT to compare spread patterns.
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Image based techniques for determining spread patterns of centrifugal fertilizer Spreaders
Agriculture and Agricultural Science Procedia, 2015Co-Authors: Simon Cool, Jan G. Pieters, Koen C. Mertens, D. Nuyttens, Bilal Hijazi, Julien Dubois, Frédéric Cointault, Jürgen VangeyteAbstract:Precision fertilization requires new techniques for determining the spread pattern of fertilizer Spreaders. Because of the accuracy and non-intrusive nature, techniques based on digital image processing are most promising. Using image processing, dynamics of particles leaving the spreader can be determined. Combined with a ballistic flight model, this allows predicting the landing position of individual fertilizer particles. In a first approach, a two-dimensional imaging technique was used with small field of view (0.33 m on 0.25 m). In the second approach, a larger field of view (1 m on 1 m) was used. To improve the accuracy of previous technique, binocular stereovision was used to determine three-dimensional information.
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high speed stereovision setup for position and motion estimation of fertilizer particles leaving a centrifugal spreader
Sensors, 2014Co-Authors: Bilal Hijazi, Simon Cool, Frédéric Cointault, Jürgen Vangeyte, Koen Mertens, Michel Paindavoine, Jan PietersAbstract: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.
Elison Matioli - One of the best experts on this subject based on the ideXlab platform.
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near junction heat Spreaders for hot spot thermal management of high power density electronic devices
Journal of Applied Physics, 2019Co-Authors: Reza Soleimanzadeh, Riyaz Abdul Khadar, M Naamoun, R Van Erp, Elison MatioliAbstract:Many high power (opto-) electronic devices such as transistors, diodes, and lasers suffer from significant hot spot temperature rises due to the high heat fluxes generated in their active area, which limits their performance, reliability, and lifetime. Employing high thermal conductivity materials near the heat source, known as near-junction heat Spreaders, offers a low-cost and effective thermal management approach. Here, we present analytical heat spreader models and a methodology to evaluate their performance. Experimental demonstration of near-junction diamond heat Spreaders on vertical GaN PiN diodes revealed significantly reduced spreading resistances, along with very low temperature gradients across the device. The findings in this work provide design guidelines and demonstrate excellent prospects, especially for the devices on low thermal conductivity substrates. The theoretical analysis of optimized diamond heat Spreaders shows an 86% reduction of spreading resistance for GaN devices and 98% for ...
Simon Cool - One of the best experts on this subject based on the ideXlab platform.
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Development of a Stereovision-Based Technique to Measure the Spread Patterns of Granular Fertilizer Spreaders
Sensors, 2017Co-Authors: Simon Cool, D. Nuyttens, Jan Pieters, Dejan Seatovic, Koen Mertens, Tim Van De Gucht, Jürgen VangeyteAbstract:Centrifugal fertilizer Spreaders are by far the most commonly used granular fertilizer spreader type in Europe. Their spread pattern however is error-prone, potentially leading to an undesired distribution of particles in the field and losses out of the field, which is often caused by poor calibration of the spreader for the specific fertilizer used. Due to the large environmental impact of fertilizer use, it is important to optimize the spreading process and minimize these errors. Spreader calibrations can be performed by using collection trays to determine the (field) spread pattern, but this is very time-consuming and expensive for the farmer and hence not common practice. Therefore, we developed an innovative multi-camera system to predict the spread pattern in a fast and accurate way, independent of the spreader configuration. Using high-speed stereovision, ejection parameters of particles leaving the spreader vanes were determined relative to a coordinate system associated with the spreader. The landing positions and subsequent spread patterns were determined using a ballistic model incorporating the effect of tractor motion and wind. Experiments were conducted with a commercial spreader and showed a high repeatability. The results were transformed to one spatial dimension to enable comparison with transverse spread patterns determined in the field and showed similar results.
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Comparison of different spread pattern determination techniques
Precision Agriculture, 2015Co-Authors: Simon Cool, Jürgen Vangeyte, Jan Pieters, Tim Van De Gucht, Bart Sonck, Jonas Van Damme, Koen MertensAbstract:Traditionally, the performance of fertilizer Spreaders is assessed using a row of collection trays aligned perpendicular to the driving direction of the tractor. For precise calibration of the spreader this technique, however, does not provide adequate insight into the spreading process since particle distributions are measured in only one spatial dimension. In this paper, two different two dimensional spread pattern determination techniques (SPDT) were tested, each consisting of a sampling method and a matching interpolation algorithm. Tests were executed under similar conditions with three commonly used types of fertilizer (CAN, NPK, KCl) with different physical properties. Results were compared with the traditional technique. The differences found illustrate the importance of using an adequate SPDT to compare spread patterns.
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Image based techniques for determining spread patterns of centrifugal fertilizer Spreaders
Agriculture and Agricultural Science Procedia, 2015Co-Authors: Simon Cool, Jan G. Pieters, Koen C. Mertens, D. Nuyttens, Bilal Hijazi, Julien Dubois, Frédéric Cointault, Jürgen VangeyteAbstract:Precision fertilization requires new techniques for determining the spread pattern of fertilizer Spreaders. Because of the accuracy and non-intrusive nature, techniques based on digital image processing are most promising. Using image processing, dynamics of particles leaving the spreader can be determined. Combined with a ballistic flight model, this allows predicting the landing position of individual fertilizer particles. In a first approach, a two-dimensional imaging technique was used with small field of view (0.33 m on 0.25 m). In the second approach, a larger field of view (1 m on 1 m) was used. To improve the accuracy of previous technique, binocular stereovision was used to determine three-dimensional information.
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high speed stereovision setup for position and motion estimation of fertilizer particles leaving a centrifugal spreader
Sensors, 2014Co-Authors: Bilal Hijazi, Simon Cool, Frédéric Cointault, Jürgen Vangeyte, Koen Mertens, Michel Paindavoine, Jan PietersAbstract: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.
Koen Mertens - One of the best experts on this subject based on the ideXlab platform.
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Development of a Stereovision-Based Technique to Measure the Spread Patterns of Granular Fertilizer Spreaders
Sensors, 2017Co-Authors: Simon Cool, D. Nuyttens, Jan Pieters, Dejan Seatovic, Koen Mertens, Tim Van De Gucht, Jürgen VangeyteAbstract:Centrifugal fertilizer Spreaders are by far the most commonly used granular fertilizer spreader type in Europe. Their spread pattern however is error-prone, potentially leading to an undesired distribution of particles in the field and losses out of the field, which is often caused by poor calibration of the spreader for the specific fertilizer used. Due to the large environmental impact of fertilizer use, it is important to optimize the spreading process and minimize these errors. Spreader calibrations can be performed by using collection trays to determine the (field) spread pattern, but this is very time-consuming and expensive for the farmer and hence not common practice. Therefore, we developed an innovative multi-camera system to predict the spread pattern in a fast and accurate way, independent of the spreader configuration. Using high-speed stereovision, ejection parameters of particles leaving the spreader vanes were determined relative to a coordinate system associated with the spreader. The landing positions and subsequent spread patterns were determined using a ballistic model incorporating the effect of tractor motion and wind. Experiments were conducted with a commercial spreader and showed a high repeatability. The results were transformed to one spatial dimension to enable comparison with transverse spread patterns determined in the field and showed similar results.
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Comparison of different spread pattern determination techniques
Precision Agriculture, 2015Co-Authors: Simon Cool, Jürgen Vangeyte, Jan Pieters, Tim Van De Gucht, Bart Sonck, Jonas Van Damme, Koen MertensAbstract:Traditionally, the performance of fertilizer Spreaders is assessed using a row of collection trays aligned perpendicular to the driving direction of the tractor. For precise calibration of the spreader this technique, however, does not provide adequate insight into the spreading process since particle distributions are measured in only one spatial dimension. In this paper, two different two dimensional spread pattern determination techniques (SPDT) were tested, each consisting of a sampling method and a matching interpolation algorithm. Tests were executed under similar conditions with three commonly used types of fertilizer (CAN, NPK, KCl) with different physical properties. Results were compared with the traditional technique. The differences found illustrate the importance of using an adequate SPDT to compare spread patterns.
-
high speed stereovision setup for position and motion estimation of fertilizer particles leaving a centrifugal spreader
Sensors, 2014Co-Authors: Bilal Hijazi, Simon Cool, Frédéric Cointault, Jürgen Vangeyte, Koen Mertens, Michel Paindavoine, Jan PietersAbstract: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.
