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Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network
BACKGROUND: The occurrence of cotton pests and diseases has always been an important factor affecting the total cotton production. Cotton has a great dependence on environmental factors during its growth, especially climate change. In recent years, machine learning and especially deep learning metho...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929544/ https://www.ncbi.nlm.nih.gov/pubmed/31874611 http://dx.doi.org/10.1186/s12859-019-3262-y |