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| Almeida,Samira L. H. de; Silva,Samuel de A.; Lima,Julião S. de S.; Rosas,Jorge T. F.; Capelini,Vinicius A.. |
| ABSTRACT This work aimed to determine potential areas for the establishment of cocoa moniliasis in Bahia state, Brazil, by means of fuzzy logic, based on historical datasets of temperature and air relative humidity, available for 519 measurement points distributed throughout the state of Bahia. The data were initially submitted to a descriptive statistical analysis. The spatial variability was determined through geostatistical analysis, followed by interpolation to map the spatial-temporal structure dependence of the phenomenon. Simulations of continuous pixel-to-pixel classification of variables were performed using fuzzy mapping to model the climatic risk of disease establishment. The exponential fuzzy model was applied to temperature data, while the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Moniliophthora roreri; Theobroma cacao; Climate change; Geostatistics; Precision phytopathology. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000400225 |
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