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Image Based Techniques for Determining Spread Patterns of Centrifugal Fertilizer Spreaders

Authors :
Julien Dubois
Koen Mertens
Jan Pieters
Frédéric Cointault
Bilal Hijazi
David Nuyttens
Simon Cool
Jürgen Vangeyte
Faculty of Bioscience Engineering, Department of Biosystems Engineering
Ghent University [Belgium] ( UGENT )
Technology and Food Science Unit, Agricultural Engineering
Institute for Agricultural and Fisheries Research
Laboratoire Electronique, Informatique et Image ( Le2i )
Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS )
Agroécologie [Dijon]
Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Research Institute for Agricultural, Fisheries and Food (ILVO)
Universiteit Gent = Ghent University [Belgium] (UGENT)
AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Laboratoire des Sciences de l'Information et des Systèmes (LSIS)
Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU)
Equipe CORES [ImViA - EA7535] (CORES)
Imagerie et Vision Artificielle [Dijon] (ImViA)
Université de Bourgogne (UB)-Université de Bourgogne (UB)
Huyghebaert, Bruno
Lorencowicz, Edmund
Uziak, Jacek
Ghent University [Belgium] (UGENT)
Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i)
Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM)
Arts et Métiers Sciences et Technologies
HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies
HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)
Source :
Agriculture and Agricultural Science Procedia, Agriculture and Agricultural Science Procedia, Elsevier, 2015, Farm Machinery and Processes Management in Sustainable Agriculture, 7, pp.59-63, Agriculture and Agricultural Science Procedia, Elsevier, 2015, Farm Machinery and Processes Management in Sustainable Agriculture, 7, pp.59-63. ⟨10.1016/j.aaspro.2015.12.032⟩, Agriculture and Agricultural Science Procedia, Elsevier, 2015, Farm machinery and processes management in sustainable agriculture, Agriculture and Agricultural Science Procedia Farm Machinery and Processes Management in Sustainable Agriculture, 7th International Scientific Symposium (7), 59-63. (2015), Agriculture and Agricultural Science Procedia, Elsevier, 2015, 7 (Farm Machinery and Processes Management in Sustainable Agriculture, 7th International Scientific Symposium), pp.59-63. ⟨10.1016/j.aaspro.2015.12.032⟩, Agriculture and Agricultural Science Procedia, Elsevier, 2015, 7 (Farm Machinery and Processes Management in Sustainable Agriculture, 7th International Scientific Symposium), pp.59-63. 〈10.1016/j.aaspro.2015.12.032〉
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/).Agrosupéquipe BAPPôle GEAPSI; 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.

Details

Language :
English
ISSN :
22107843
Database :
OpenAIRE
Journal :
Agriculture and Agricultural Science Procedia, Agriculture and Agricultural Science Procedia, Elsevier, 2015, Farm Machinery and Processes Management in Sustainable Agriculture, 7, pp.59-63, Agriculture and Agricultural Science Procedia, Elsevier, 2015, Farm Machinery and Processes Management in Sustainable Agriculture, 7, pp.59-63. ⟨10.1016/j.aaspro.2015.12.032⟩, Agriculture and Agricultural Science Procedia, Elsevier, 2015, Farm machinery and processes management in sustainable agriculture, Agriculture and Agricultural Science Procedia Farm Machinery and Processes Management in Sustainable Agriculture, 7th International Scientific Symposium (7), 59-63. (2015), Agriculture and Agricultural Science Procedia, Elsevier, 2015, 7 (Farm Machinery and Processes Management in Sustainable Agriculture, 7th International Scientific Symposium), pp.59-63. ⟨10.1016/j.aaspro.2015.12.032⟩, Agriculture and Agricultural Science Procedia, Elsevier, 2015, 7 (Farm Machinery and Processes Management in Sustainable Agriculture, 7th International Scientific Symposium), pp.59-63. 〈10.1016/j.aaspro.2015.12.032〉
Accession number :
edsair.doi.dedup.....18a6bb8dacf3c84745ef21ec326e8e37
Full Text :
https://doi.org/10.1016/j.aaspro.2015.12.032⟩