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Machine learning techniques in disease forecasting: a case study on rice blast prediction
BACKGROUND: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their inability to predict value of unknown data points and longer training times, there is need for exploiting new prediction...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1647291/ https://www.ncbi.nlm.nih.gov/pubmed/17083731 http://dx.doi.org/10.1186/1471-2105-7-485 |