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Author (up) Garcia, J.; Pope, C.; Altimiras, F. doi  openurl
  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  
  Keywords  
  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: joseantonio.garcia@telefonica.com  
  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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