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Conference proceedings article

Title Automatic detection of white grapes in natural environment using image processing
Author Manuel J. C. S. Reis, Raul Morais, C. Pereira, Salviano F. S. P. Soares, António L. G. Valente, J. Baptista, Paulo J S G Ferreira, J. Bulas-Cruz
Booktitle 6th Int Conf Soft Computing Models in Industrial and Environmental Applications, SOCO 2011
Address Salamanca, Spain
Volume 87
Pages 19-26
Month April
Year 2011
Group (before 2015) Signal Processing Laboratory
Indexed by ISI Yes
Scope International


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.


  • white grape detection
  • visual inspection
  • image processing
  • precision viticulture