Cargando…
Integrating SOMs and a Bayesian Classifier for Segmenting Diseased Plants in Uncontrolled Environments
This work presents a methodology that integrates a nonsupervised learning approach (self-organizing map (SOM)) and a supervised one (a Bayesian classifier) for segmenting diseased plants that grow in uncontrolled environments such as greenhouses, wherein the lack of control of illumination and prese...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2014
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236890/ https://www.ncbi.nlm.nih.gov/pubmed/25538948 http://dx.doi.org/10.1155/2014/214674 |