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Optimizing Artificial Neural Network-Based Models to Predict Rice Blast Epidemics in Korea
To predict rice blast, many machine learning methods have been proposed. As the quality and quantity of input data are essential for machine learning techniques, this study develops three artificial neural network (ANN)-based rice blast prediction models by combining two ANN models, the feed-forward...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Society of Plant Pathology
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372109/ https://www.ncbi.nlm.nih.gov/pubmed/35953059 http://dx.doi.org/10.5423/PPJ.NT.04.2022.0062 |