A Distributed -Means Segmentation Algorithm Applied to Lobesia botrana Recognition

José García, Christopher Pope and Francisco Altimiras

Complexity, 2017, vol. 2017, 1-14

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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:5137317

DOI: 10.1155/2017/5137317

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