4 documents found, page 1 of 1
CROP MODELING WITH LESS DATA: THE FAO MODEL FOR SOYBEAN YIELD ESTIMATION
Richetti,Jonathan; Johann,Jerry Adriani; Uribe-Opazo,Miguel AngelABSTRACT Crop growth simulation models such as WOFOST and DSSAT are useful, but require several inputs that sometimes are not available, especially in developing areas. In addition, measured data is usually time and labor-intensive. In search of faster and easier methods for soybean estimates, this study presents a lower input requiring methodology for yield estimation. This study combines the FAO-33 yield mode...
DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES
Becker,Willyan R.; Johann,Jerry A.; Richetti,Jonathan; Silva,Laíza C. DE A.ABSTRACT: Due to the difficulty in discriminating soybean and corn in mappings obtained by the time series of satellite images, this study aimed to apply the data mining techniques to separate soybean and corn. Pure pixels selection from Landsat-8 were extracted and used to build a standard spectro-temporal EVI profile for both crops. These profiles were obtained with the Timesat software and, further incorpora...
TÉCNICAS PARA DETECÇÃO DE PONTOS INFLUENTES EM VARIÁVEIS CONTÍNUAS REGIONALIZADAS
Richetti,Jonathan; Uribe-Opazo,Miguel A.; Bastiani,Fernanda de; Johann,Jerry AdrianiRESUMO Na análise de dados espaciais em agricultura, a presença de pontos influentes pode alterar consideravelmente os resultados das análises de dependência espacial e, consequentemente, a construção dos mapas. Quando se referem a atributos físico-químicos do solo e da produtividade, os mapas devem representar uma estimativa eficiente das condições reais do campo, já que são importantes informações utilizadas ...
Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in...
Aparecido,Lucas Eduardo de Oliveira; Rolim,Glauco de Souza; Richetti,Jonathan; Souza,Paulo Sergio de; Johann,Jerry AdrianiABSTRACT Climate is the set of average atmospheric conditions that characterizes a region. It directly influences the majority of human activities, especially agriculture. Climate classification systems (CCSs) are important tools in the study of agriculture, enabling knowledge of the climatic characteristics of a region. Thus, we aimed to perform the climatic characterization of the State of Paraná using the me...