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Automatic Detection of White Grapes in Natural Environment Using Image Processing

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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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Author information

Authors and Affiliations

  1. Engineering Department, IEETA/UTAD, 5001-801, Vila Real, Portugal

    Manuel Cabral Reis, Salviano Soares & A. Valente

  2. Engineering Department, CITAB/UTAD, 5001-801, Vila Real, Portugal

    Raul Morais

  3. Engineering Department, UTAD, 5001-801, Vila Real, Portugal

    Carlos Pereira, J. Baptista & J. B. Cruz

  4. IEETA, Campus Univ. de Santiago, 3810-193, Aveiro, Portugal

    Paulo J. S. G. Ferreira

Authors
  1. Manuel Cabral Reis

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  2. Raul Morais

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  3. Carlos Pereira

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  4. Salviano Soares

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  5. A. Valente

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  6. J. Baptista

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  7. Paulo J. S. G. Ferreira

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  8. J. B. Cruz

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Editor information

Editors and Affiliations

  1. Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  2. VŠB-TU Ostrava, 17. listopadu 15, 70833, Ostrava, Czech Republic

    Václav Snášel

  3. University of Burgos, Avenida Cantaria S/N, 09006, Burgos, Spain

    Javier Sedano

  4. Cairo University, 5 Ahmed Zewal St., Orman, Cairo, Egypt

    Aboul Ella Hassanien

  5. University of La Coruña, Avda. 19 de Febrero, S/N, A Coruña,, 15403, Ferrol, Spain

    José Luis Calvo

  6. Infobright, 47 Colborne Street, Suite 403, M5E1P8, Toronto, Ontario, Canada

    Dominik Ślȩzak

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© 2011 Springer-Verlag Berlin Heidelberg

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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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