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Model for soybean production forecast based on prevailing physical conditions PAB
Gusso,Anibal; Arvor,Damien; Ducati,Jorge Ricardo.
Abstract: The objective of this work was to evaluate the reliability of the physiological meaning of the enhanced vegetation index (EVI) data for the development of a remote sensing-based procedure to estimate soybean production prior to crop harvest. Time-series data from the moderate resolution imaging spectroradiometer (Modis) were applied to investigate the relationship between local yield fluctuations of soybean and the prevailing physically-driven conditions in the state of Mato Grosso, located in the south of the Brazilian Amazon. The developed methodology was based on the coupled model (CM). The CM provides production estimates for early January, using images from the maximum crop development period. Production estimates were validated at three...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Agriculture; EVI; Modis; Remote sensing; Satellite.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000200095
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