Beatriz Nathalia Serrato Panqueba, Carlos Arturo Castillo Medina, "A Computer Vision Application to Detect Unwanted Weed in Early Stage Crops," WSEAS Transactions on Computer Research, vol. 4, pp. 41-45, 2016, DOI:
Beatriz Nathalia Serrato Panqueba, Carlos Arturo Castillo Medina. A Computer Vision Application to Detect Unwanted Weed in Early Stage Crops.
WSEAS Transactions on Computer Research. 2016;4:41-45.
WSEAS Transactions on Computer Research
Print ISSN: 1991-8755, E-ISSN: 2415-1521
Volume 4, 2016
A Computer Vision Application to Detect Unwanted Weed in Early Stage Crops
Authors: ,
Abstract: This article shows an application for computer vision to detect unwanted weed in crops from one region with more agricultural impact in Colombia. We took images in different crops, wanting estimate population degree from arvenses species. An Image processing was developed to obtain regions of interest were finally processed through neural networks.
Keywords:
machine vision, weed identification, classical classifier, neuronal networks, unwanted weed, weed in crops
Pages: 41-45 WSEAS Transactions on Computer Research, ISSN / E-ISSN: 1991-8755 / 2415-1521, Volume 4, 2016, Art. #5 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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