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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...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2006
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1647291/ https://ncbi.nlm.nih.gov/pubmed/17083731 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-485 |
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