Weed recognition by SVM texture feature classification in outdoor vegetable crops images

Weed recognition by SVM texture feature classification in outdoor vegetable crops images

This paper presents a classification system for weeds and vegetables from outdoor crop images. The classifier is based on support vector machine (SVM) with its extension to nonlinear case using radial basis function (RBF) and optimizing its scale parameter σ to smooth the decision boundary. The feat...

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Bibliographic Details
Main Authors: Camilo Pulido Rojas, Leonardo Solaque Guzmán, Nelson Velasco Toledo
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2017-01-01
Series:Ingeniería e Investigación
Subjects:
Weed recognition
support vectors
co-occurrence matrix
PCA
Online Access:https://revistas.unal.edu.co/index.php/ingeinv/article/view/54703

Internet

https://revistas.unal.edu.co/index.php/ingeinv/article/view/54703

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