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Description of epidemics of coffee rust with neural networks Trop. Plant Pathol.
PINTO,AUGUSTO CARLOS S.; POZZA,EDSON A.; SOUZA,PAULO E. DE; POZZA,ADÉLIA A. A.; TALAMINI,VIVIANE; BOLDINI,JULIANA M.; SANTOS,FLORISVALDA S..
The objective of this paper was to evaluate the potential of neural networks (NN) as an alternative method to the basic epidemiological approach to describe epidemics of coffee rust. The NN was developed from the intensities of coffee (Coffea arabica) rust along with the climatic variables collected in Lavras-MG between 13 February 1998 and 20 April 2001. The NN was built with climatic variables that were either selected in a stepwise regression analysis or by the Braincel® system, software for NN building. Fifty-nine networks and 26 regression models were tested. The best models were selected based on small values of the mean square deviation (MSD) and of the mean prediction error (MPE). For the regression models, the highest coefficients of determination...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Inteligência artificial; Epidemiologia; Hemileia vastatrix; Coffea arabica.
Ano: 2002 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-41582002000500013
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Spatial and temporal analysis of stem bleeding disease in coconut palm in the state of sergipe, Brazil Anais da ABC (AABC)
CARVALHO,REJANE R. DA COSTA E; SOUZA,PAULO E. DE; WARWICK,DULCE R.N.; POZZA,EDSON A.; CARVALHO FILHO,JOSé L.S. DE.
ABSTRACTStem bleeding disease (resinosis) of coconut palm is caused by Thielaviopsis paradoxa and is very important in the state of Sergipe, Brazil. Understanding the epidemiological behavior of the disease is essential for establishing more efficient control strategies. Thus, we characterized the temporal progression and spatial distribution of stem bleeding in a commercial orchard under conditions of natural infection in the area of Neopolis, Sergipe. Three plots with 729 plants each were selected and evaluated every two months for stem bleeding incidence. In the temporal analysis, the monomolecular model gave the best fit to data on disease incidence, as it accurately showed the temporal dynamics of the disease during the experiment period. The spatial...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coconut; Epidemiology; Stem bleeding; Thielaviopsis paradoxa.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652013000401567
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