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Determination of management zones from normalized and standardized equivalent produtivity maps in the soybean culture REA
Suszek,Grazieli; Souza,Eduardo G. de; Uribe-Opazo,Miguel A.; Nobrega,Lucia H. P..
Through the site-specific management, the precision agriculture brings new techniques for the agricultural sector, as well as a larger detailing of the used methods and increase of the global efficiency of the system. The objective of this work was to analyze two techniques for definition of management zones using soybean yield maps, in a productive area handled with localized fertilization and other with conventional fertilization. The sampling area has 1.74 ha, with 128 plots with site-specific fertilization and 128 plots with conventional fertilization. The productivity data were normalized by two techniques (normalized and standardized equivalent productivity), being later classified in management zones. It can be concluded that the two methods of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Thematic map; Precision agriculture; Geostatistics; Soybean.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000500007
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Estimating soybean crop areas using spectral-temporal surfaces derived from MODIS images in Mato Grosso, Brazil PAB
Epiphanio,Rui Dalla Valle; Formaggio,Antonio Roberto; Rudorff,Bernardo Friedrich Theodor; Maeda,Eduardo Eiji; Luiz,Alfredo José Barreto.
The objective of this work was to evaluate the application of the spectral-temporal response surface (STRS) classification method on Moderate Resolution Imaging Spectroradiometer (MODIS, 250 m) sensor images in order to estimate soybean areas in Mato Grosso state, Brazil. The classification was carried out using the maximum likelihood algorithm (MLA) adapted to the STRS method. Thirty segments of 30x30 km were chosen along the main agricultural regions of Mato Grosso state, using data from the summer season of 2005/2006 (from October to March), and were mapped based on fieldwork data, TM/Landsat-5 and CCD/CBERS-2 images. Five thematic classes were considered: Soybean, Forest, Cerrado, Pasture and Bare Soil. The classification by the STRS method was done...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Glycine max; Accuracy; Agricultural statistics; Classification; Remote sensing; Thematic map.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2010000100010
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Simple thematic mapping AgEcon
Pisati, Maurizio.
Thematic maps illustrate the spatial distribution of one or more variables of interest within a given geographic unit. In a sense, a thematic map is the spatial analyst’s equivalent to the scatterplot in nonspatial analysis. This paper presents the tmap package, a set of Stata programs designed to draw five kinds of thematic maps: choropleth, proportional symbol, deviation, dot, and label maps. The first three kinds of maps are intended to depict area data, the fourth is suitable for representing point data, and the fifth can be used to show data of both types.
Tipo: Journal Article Palavras-chave: Tmap choropleth; Tmap propsymbol; Tmap deviation; Tmap dot; Tmap label; Thematic map; Choropleth map; Proportional symbol map; Deviation map; Dot map; Label map; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116257
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Model to estimate the sampling density for establishment of yield mapping AGRIAMBI
Spezia,Graciele R.; Souza,Eduardo G. de; Nóbrega,Lúcia H. P.; Uribe-Opazo,Miguel A.; Milan,Marcos; Bazzi,Claudio L..
Yield mapping represents the spatial variability concerning the features of a productive area and allows intervening on the next year production, for example, on a site-specific input application. The trial aimed at verifying the influence of a sampling density and the type of interpolator on yield mapping precision to be produced by a manual sampling of grains. This solution is usually adopted when a combine with yield monitor can not be used. An yield map was developed using data obtained from a combine equipped with yield monitor during corn harvesting. From this map, 84 sample grids were established and through three interpolators: inverse of square distance, inverse of distance and ordinary kriging, 252 yield maps were created. Then they were compared...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Thematic map; Spatial variability.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012000400016
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