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Author (up) Garcia, J.; Pope, C.; Altimiras, F. pdf  doi
  Title A Distributed K-Means Segmentation Algorithm Applied to Lobesia botrana Recognition Type Journal Article
  Year 2017 Publication Complexity Abbreviated Journal Complexity  
  Volume Issue Pages 14 pp  
  Abstract Early detection of Lobesia botrana is a primary issue for a proper control of this insect considered as the major pest in grapevine. In this article, we propose a novel method for L. botrana recognition using image data mining based on clustering segmentation with descriptors which consider gray scale values and gradient in each segment. This system allows a 95 percent of L. botrana recognition in non-fully controlled lighting, zoom, and orientation environments. Our image capture application is currently implemented in a mobile application and subsequent segmentation processing is done in the cloud.  
  Address [Garcia, Jose; Pope, Christopher; Altimiras, Francisco] Telefon Invest & Desarrollo, Santiago, Chile, Email:  
  Corporate Author Thesis  
  Publisher Wiley-Hindawi Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1076-2787 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000407198000001 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 754  
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