Design of a computer vision system for a differential spraying operation in precision agriculture using Hebbian learning
Design of a computer vision system for a differential spraying operation in precision agriculture using Hebbian learning
- Author(s): G. Pajares ; A. Tellaeche ; X.-P. BurgosArtizzu ; A. Ribeiro
- DOI: 10.1049/iet-cvi:20070028
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- Author(s): G. Pajares 1 ; A. Tellaeche 2 ; X.-P. BurgosArtizzu 3 ; A. Ribeiro 3
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View affiliations
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Affiliations:
1: Department of Ingeniería del Software e Inteligencia Artificial, Facultad Informática, Universidad Complutense, Madrid, Spain
2: Department of Informática y Automática, E.T.S. Informática - UNED, Madrid, Spain
3: Department of Informática y Automática, Instituto de Automática Industrial, CSIC, Arganda del Rey, Madrid, Spain
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Affiliations:
1: Department of Ingeniería del Software e Inteligencia Artificial, Facultad Informática, Universidad Complutense, Madrid, Spain
- Source:
Volume 1, Issue 3-4,
December 2007,
p.
93 – 99
DOI: 10.1049/iet-cvi:20070028 , Print ISSN 1751-9632, Online ISSN 1751-9640
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One objective in precision agriculture is to minimise the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. An automatic computer vision system for the detection and differential spraying of weeds in crop fields is discussed. The system involves an image segmentation approach and a decision maker. The first is designed as a sequence of image processing techniques and the second is a decision maker based on the Hebbian learning paradigm under the self-organising criterion. The combination of both and the use of the second are the main findings. The method is compared favourably with other existing strategies achieving a suitable performance.
Inspec keywords: image segmentation; learning (artificial intelligence); computer vision; agrochemicals; agriculture
Other keywords:
Subjects: Agriculture, forestry and fisheries computing; Knowledge engineering techniques; Agriculture; Computer vision and image processing techniques; Information technology applications
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