Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/337 |
Resumo: | Determination and removal of the time delay in corn crop maps. Due to the great amount of information collected at a low cost, the harvest mapping has been the development key for Precision Agriculture. However, mistakes can happen in this process. The main of them, the time delay, is described as the time spent among the cut of the plant by the bar of the platform and the passage of the grain for the sensor of productivity, and the correlation of this flow with the correct position of the combine when the culture was harvested. The spatial dependence analysis by the best adjustment semivariogram method and their parameters determined the best time delay. The variance of nugget effect measures the small amount variation in a group of space data. Dependence between the nugget effect and the time delay can be supposed. Thus, the variation of the nugget effect should be minimized with the true time delay. For the semivariogram analysis, the data of moisture productivity, moisture and elevation were divided in 12 subareas and each area had the determined time delay, varying from 3 to 27 second for moisture productivity and moisture and from 0 to 3 seconds for elevation. The best adjustment semivariogram method to determine the time delay was satisfactory, in spite of the atypical conditions, that is, high natural variability of the data for the three factors, proving changes of the time delay in a small area. |
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Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337Determinação e remoção do tempo de atraso eterminação em mapas de colheita de milho - DOI: 10.4025/actasciagron.v29i2.337colheita monitoradatempo de atrasoagricultura de precisãoDetermination and removal of the time delay in corn crop maps. Due to the great amount of information collected at a low cost, the harvest mapping has been the development key for Precision Agriculture. However, mistakes can happen in this process. The main of them, the time delay, is described as the time spent among the cut of the plant by the bar of the platform and the passage of the grain for the sensor of productivity, and the correlation of this flow with the correct position of the combine when the culture was harvested. The spatial dependence analysis by the best adjustment semivariogram method and their parameters determined the best time delay. The variance of nugget effect measures the small amount variation in a group of space data. Dependence between the nugget effect and the time delay can be supposed. Thus, the variation of the nugget effect should be minimized with the true time delay. For the semivariogram analysis, the data of moisture productivity, moisture and elevation were divided in 12 subareas and each area had the determined time delay, varying from 3 to 27 second for moisture productivity and moisture and from 0 to 3 seconds for elevation. The best adjustment semivariogram method to determine the time delay was satisfactory, in spite of the atypical conditions, that is, high natural variability of the data for the three factors, proving changes of the time delay in a small area.Devido a grande quantidade de informações coletadas a baixo custo, o mapeamento da produtividade do campo tem sido a chave do desenvolvimento para a agricultura de precisão. Entretanto, nesse processo podem ocorrer erros, sendo o principal deles o tempo de atraso, descrito como o tempo dispendido entre o corte da planta pela barra da plataforma e a passagem do grão pelo sensor de produtividade e a correlação deste fluxo com a correta posição da colhedora quando a cultura foi ceifada. A análise de dependência espacial pelo método do melhor ajuste do semivariograma e dos seus parâmetros foi o que determinou o melhor tempo de atraso. A variância do efeito pepita mede a quantidade de variação de pequena escala em um conjunto de dados espaciais. Podese supor uma dependência entre o efeito pepita e o tempo de atraso, dessa forma, variação do efeito pepita deve ser minimizada com o verdadeiro tempo de atraso. Para esta análise pelo semivariograma, os dados de produtividade úmida, umidade e elevação foram divididos em 12 sub-áreas e cada uma teve o tempo de atraso determinado, variando de 3 a 27 segundos para produtividade úmida e umidade e de 0 a 3 segundos para elevação. O método de determinação dos tempos de atraso pelo melhor ajuste do semivariograma foi satisfatório, apesar das condições atípicas, ou seja, alta variabilidade natural dos dados para os três fatores, provando as mudanças do tempo de atraso em uma área relativamente pequena.Universidade Estadual de Maringá2007-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/33710.4025/actasciagron.v29i2.337Acta Scientiarum. Agronomy; Vol 29 No 2 (2007); 147-155Acta Scientiarum. Agronomy; v. 29 n. 2 (2007); 147-1551807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/337/105Michelan, RicardoSouza, Eduardo Godoy deUribe-Opazo, Miguel Angelinfo:eu-repo/semantics/openAccess2022-11-23T18:37:04Zoai:periodicos.uem.br/ojs:article/337Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:37:04Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337 Determinação e remoção do tempo de atraso eterminação em mapas de colheita de milho - DOI: 10.4025/actasciagron.v29i2.337 |
title |
Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337 |
spellingShingle |
Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337 Michelan, Ricardo colheita monitorada tempo de atraso agricultura de precisão |
title_short |
Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337 |
title_full |
Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337 |
title_fullStr |
Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337 |
title_full_unstemmed |
Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337 |
title_sort |
Determination and removal of the time delay in corn crop maps - DOI: 10.4025/actasciagron.v29i2.337 |
author |
Michelan, Ricardo |
author_facet |
Michelan, Ricardo Souza, Eduardo Godoy de Uribe-Opazo, Miguel Angel |
author_role |
author |
author2 |
Souza, Eduardo Godoy de Uribe-Opazo, Miguel Angel |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Michelan, Ricardo Souza, Eduardo Godoy de Uribe-Opazo, Miguel Angel |
dc.subject.por.fl_str_mv |
colheita monitorada tempo de atraso agricultura de precisão |
topic |
colheita monitorada tempo de atraso agricultura de precisão |
description |
Determination and removal of the time delay in corn crop maps. Due to the great amount of information collected at a low cost, the harvest mapping has been the development key for Precision Agriculture. However, mistakes can happen in this process. The main of them, the time delay, is described as the time spent among the cut of the plant by the bar of the platform and the passage of the grain for the sensor of productivity, and the correlation of this flow with the correct position of the combine when the culture was harvested. The spatial dependence analysis by the best adjustment semivariogram method and their parameters determined the best time delay. The variance of nugget effect measures the small amount variation in a group of space data. Dependence between the nugget effect and the time delay can be supposed. Thus, the variation of the nugget effect should be minimized with the true time delay. For the semivariogram analysis, the data of moisture productivity, moisture and elevation were divided in 12 subareas and each area had the determined time delay, varying from 3 to 27 second for moisture productivity and moisture and from 0 to 3 seconds for elevation. The best adjustment semivariogram method to determine the time delay was satisfactory, in spite of the atypical conditions, that is, high natural variability of the data for the three factors, proving changes of the time delay in a small area. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-11-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/337 10.4025/actasciagron.v29i2.337 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/337 |
identifier_str_mv |
10.4025/actasciagron.v29i2.337 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/337/105 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 29 No 2 (2007); 147-155 Acta Scientiarum. Agronomy; v. 29 n. 2 (2007); 147-155 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305902121025536 |