- Manuel Cabral Reis8,
- Raul Morais9,
- Carlos Pereira10,
- Salviano Soares8,
- A. Valente8,
- J. Baptista10,
- Paulo J. S. G. Ferreira11 &
- …
- J. B. Cruz10
Part of the book series:Advances in Intelligent and Soft Computing ((AINSC,volume 87))
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Abstract
The rate of adoption of Precision Agriculture and Precision Viticulture production systems in the Douro Demarcated Region remains low. We believe that one way to raise it is to address challenging real-world problems whose solution offers a clear benefit to the viticulturist. For example, one of the most demanding tasks in wine making is harvesting. Even for humans, the detection of grapes in their natural environment is not always easy. White grapes are particularly difficult to detect, since their color is similar to that of the leafs. Here we present a low cost system for the detection of white grapes in natural environment color images. The system also calculates the probable location of the bunch stem and achieves 91% of correct classifications.
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Authors and Affiliations
Engineering Department, IEETA/UTAD, 5001-801, Vila Real, Portugal
Manuel Cabral Reis, Salviano Soares & A. Valente
Engineering Department, CITAB/UTAD, 5001-801, Vila Real, Portugal
Raul Morais
Engineering Department, UTAD, 5001-801, Vila Real, Portugal
Carlos Pereira, J. Baptista & J. B. Cruz
IEETA, Campus Univ. de Santiago, 3810-193, Aveiro, Portugal
Paulo J. S. G. Ferreira
- Manuel Cabral Reis
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- Raul Morais
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- Salviano Soares
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- Paulo J. S. G. Ferreira
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Editors and Affiliations
Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain
Emilio Corchado
VŠB-TU Ostrava, 17. listopadu 15, 70833, Ostrava, Czech Republic
Václav Snášel
University of Burgos, Avenida Cantaria S/N, 09006, Burgos, Spain
Javier Sedano
Cairo University, 5 Ahmed Zewal St., Orman, Cairo, Egypt
Aboul Ella Hassanien
University of La Coruña, Avda. 19 de Febrero, S/N, A Coruña,, 15403, Ferrol, Spain
José Luis Calvo
Infobright, 47 Colborne Street, Suite 403, M5E1P8, Toronto, Ontario, Canada
Dominik Ślȩzak
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Reis, M.C.et al. (2011). Automatic Detection of White Grapes in Natural Environment Using Image Processing. In: Corchado, E., Snášel, V., Sedano, J., Hassanien, A.E., Calvo, J.L., Ślȩzak, D. (eds) Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Advances in Intelligent and Soft Computing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19644-7_3
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