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Image Based Techniques for Determining Spread Patterns of Centrifugal Fertilizer Spreaders
- 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.
- Subjects :
- Agriculture and Food Sciences
Computer science
[SDV]Life Sciences [q-bio]
spread pattern
image techniques
Image processing
Field of view
engineering.material
image technique
cross correlation
ballistic flight
fertilizer
Position (vector)
Motion estimation
Digital image processing
Computer vision
[ INFO.INFO-ES ] Computer Science [cs]/Embedded Systems
ComputingMilieux_MISCELLANEOUS
MOTION ESTIMATION
Cross-correlation
[ SDV ] Life Sciences [q-bio]
business.industry
General Medicine
engineering
[INFO.INFO-ES]Computer Science [cs]/Embedded Systems
Fertilizer
Artificial intelligence
business
Spread pattern
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Image based
Subjects
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⟩