A novel method for detecting morphologically similar crops and weeds based on the combination of contour masks and filtered Local Binary Pattern operators

BACKGROUND: Weeds are a major cause of low agricultural productivity. Some weeds have morphological features similar to crops, making them difficult to discriminate. RESULTS: We propose a novel method using a combination of filtered features extracted by combined Local Binary Pattern operators and f...

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Detalles Bibliográficos
Autores principales: Le, Vi Nguyen Thanh, Ahderom, Selam, Apopei, Beniamin, Alameh, Kamal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055473/
https://www.ncbi.nlm.nih.gov/pubmed/32129847
http://dx.doi.org/10.1093/gigascience/giaa017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055473/
https://www.ncbi.nlm.nih.gov/pubmed/32129847
http://dx.doi.org/10.1093/gigascience/giaa017

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