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Development of a fuzzy model for differentiating peanut plant from broadleaf weeds using image features
A combination of decision tree (DT) and fuzzy logic techniques was used to develop a fuzzy model for differentiating peanut plant from weeds. Color features and wavelet-based texture features were extracted from images of peanut plant and its three common weeds. Two feature selection techniques name...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670791/ https://www.ncbi.nlm.nih.gov/pubmed/33292367 http://dx.doi.org/10.1186/s13007-020-00695-1 |