Boosting classifiers for weed seeds identification

Boosting classifiers for weed seeds identification

The identification and classification of seeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in ocular inspection one should consider seed size, shape, color and texture, which can be obtained from seed images. In this work we compl...

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Bibliographic Details
Main Authors:	Pablo Miguel Granitto, Pablo A. Garralda, Pablo Fabián Verdes, Hermenegildo Alejandro Ceccatto
Format:	Article
Language:	English
Published:	Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2003-04-01
Series:	Journal of Computer Science and Technology
Subjects:	machine vision classification boosting neural networks
Online Access:	https://journal.info.unlp.edu.ar/JCST/article/view/950

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