Methodology to determine the soil sampling grid for precision agriculture in a coffee field

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Autore principale: Gabriel Araújo e Silva Ferraz
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2017
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author Gabriel Araújo e Silva Ferraz
author_facet Gabriel Araújo e Silva Ferraz
contents Methodology to determine the soil sampling grid for precision agriculture in a coffee field Gabriel Araújo e Silva Ferraz Marcelo Silva de Oliveira Fábio Moreira da Silva Rogner Carvalho Avelar Flávio Castro da Silva Patrícia Ferreira Ponciano Ferraz Ingeniería Geostatistics soil fertility accuracy index precision index spatial variability The objective of this study was to develop and propose a methodology to evaluate the quality of different sampling grids. In addition, it allows us to choose the sampling grid that better suits one or a set of variables. The structure and magnitude of the spatial dependence were characterized by semivariogram. It allowed us to apply validation techniques as a base to create an index for evaluating the grid quality, and to develop an indicator that points out the best sampling grid. To test the proposed methodology, an experiment was performed at the Brejão farm, in Brazil. We have developed and compared twenty sampling grids, which were applied to four soil variables sampled in georeferenced locations. An accuracy index (AI), a precision index (PI) and the optimum grid indicator (OGI) were developed and proposed, which allowed us to choose the best grid (grid 5) among the sampling grids. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49650910047 https://www.redalyc.org/journal/496/49650910047/ https://www.redalyc.org/journal/496/49650910047/html/ https://www.redalyc.org/journal/496/49650910047/49650910047.epub https://www.redalyc.org/journal/496/49650910047/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.200 Vol.84
format Artículo científico
id redalyc_49650910047
institution Redalyc
language en
publishDate 2017
publisher Universidad Nacional de Colombia
spellingShingle Methodology to determine the soil sampling grid for precision agriculture in a coffee field
Gabriel Araújo e Silva Ferraz
Ingeniería
Geostatistics
soil fertility
accuracy index
precision index
spatial variability
Methodology to determine the soil sampling grid for precision agriculture in a coffee field Gabriel Araújo e Silva Ferraz Marcelo Silva de Oliveira Fábio Moreira da Silva Rogner Carvalho Avelar Flávio Castro da Silva Patrícia Ferreira Ponciano Ferraz Ingeniería Geostatistics soil fertility accuracy index precision index spatial variability The objective of this study was to develop and propose a methodology to evaluate the quality of different sampling grids. In addition, it allows us to choose the sampling grid that better suits one or a set of variables. The structure and magnitude of the spatial dependence were characterized by semivariogram. It allowed us to apply validation techniques as a base to create an index for evaluating the grid quality, and to develop an indicator that points out the best sampling grid. To test the proposed methodology, an experiment was performed at the Brejão farm, in Brazil. We have developed and compared twenty sampling grids, which were applied to four soil variables sampled in georeferenced locations. An accuracy index (AI), a precision index (PI) and the optimum grid indicator (OGI) were developed and proposed, which allowed us to choose the best grid (grid 5) among the sampling grids. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49650910047 https://www.redalyc.org/journal/496/49650910047/ https://www.redalyc.org/journal/496/49650910047/html/ https://www.redalyc.org/journal/496/49650910047/49650910047.epub https://www.redalyc.org/journal/496/49650910047/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.200 Vol.84
title Methodology to determine the soil sampling grid for precision agriculture in a coffee field
topic Ingeniería
Geostatistics
soil fertility
accuracy index
precision index
spatial variability
url https://www.redalyc.org/articulo.oa?id=49650910047
https://www.redalyc.org/journal/496/49650910047/
https://www.redalyc.org/journal/496/49650910047/html/
https://www.redalyc.org/journal/496/49650910047/49650910047.epub
https://www.redalyc.org/journal/496/49650910047/movil