YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHOD
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Engenharia na Agricultura |
Texto Completo: | https://periodicos.ufv.br/reveng/article/view/654 |
Resumo: | The notorious role of coffee in Brazilian economy justifies and motivates the realization of scientific researches that contribute to the improvement of the culture monitoring, refine the productivity estimation and offer political support for planning and commercialization. In this context, the present thesis aimed the monitoring and the productivity estimation of coffee plantations – located in the northwest of Minas Gerais – by means of an agrometeorological-spectral model. The spectral monitoring was done through the behavior of the EVI and NDVI vegetation indexes, fed by spectral data from MODIS sensor with the MOD13Q1 product. The original mathematical agrometeorologycal model is based on the penalization of cultivation potential productivity due to the hydric deficit between the culture potential evapotranspiration (ETc) and the real evapotranspiration (ET), adjusted by different sensibility culture coefficients (ky) for different fenological states. A value of r² was obtained by adjustment of the model parameters for the plantations and resulted between 0,79 and 0,95 and also a concordance index “d” Willmott between 0,93 and 0,95 for different pivots. The satisfactory results confirm the potential of the agrometeorological-spectral model application for estimation of productivity of plantations. |
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Engenharia na Agricultura |
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YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHODESTIMATIVA DA PRODUTIVIDADE DE CAFEEIROS IRRIGADOS PELO MÉTODO ZONA AGROECOLÓGICA ESPECTRALbalanço hídricomodelo agrometeorológicosensoriamento remotoThe notorious role of coffee in Brazilian economy justifies and motivates the realization of scientific researches that contribute to the improvement of the culture monitoring, refine the productivity estimation and offer political support for planning and commercialization. In this context, the present thesis aimed the monitoring and the productivity estimation of coffee plantations – located in the northwest of Minas Gerais – by means of an agrometeorological-spectral model. The spectral monitoring was done through the behavior of the EVI and NDVI vegetation indexes, fed by spectral data from MODIS sensor with the MOD13Q1 product. The original mathematical agrometeorologycal model is based on the penalization of cultivation potential productivity due to the hydric deficit between the culture potential evapotranspiration (ETc) and the real evapotranspiration (ET), adjusted by different sensibility culture coefficients (ky) for different fenological states. A value of r² was obtained by adjustment of the model parameters for the plantations and resulted between 0,79 and 0,95 and also a concordance index “d” Willmott between 0,93 and 0,95 for different pivots. The satisfactory results confirm the potential of the agrometeorological-spectral model application for estimation of productivity of plantations.A posição de destaque do café na economia brasileira torna importante a realização de pesquisas científicas que contribuam para o monitoramento da cultura e estimativa da produtividade, fornecendo subsídios para políticas de planejamento e comercialização agrícola. Neste sentido, o presente trabalho teve como objetivo realizar a estimativa da produtividade de uma fazenda cafeeira na região Noroeste do Estado de Minas Gerais a partir de modelagem agrometeorológica e dados espectrais do sensor MODIS. O modelo utilizado tem como base a penalização da produtividade potencial da cultura em função do déficit hídrico (ET/ETc) e da produtividade do ano anterior (Yaa/Yp), ajustados por diferentes coeficientes de sensibilidade da cultura (ky), em diferentes estádios fenológicos. Com a parametrização do modelo, obteve-se um valor de r2 variando entre 0,79 a 0,95, e um índice de concordância “d” de Willmott de 0,93 a 0,95, entre a produtividade real e a estimada. Os resultados satisfatórios comprovaram o potencial da aplicação do modelo agrometeorológico-espectral para obtenção da estimativa da produtividade a nível de fazendas.Universidade Federal de Viçosa - UFV2017-03-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/65410.13083/reveng.v25i1.727Engineering in Agriculture; Vol. 25 No. 1 (2017); 1-11Revista Engenharia na Agricultura - REVENG; v. 25 n. 1 (2017); 1-112175-68131414-398410.13083/reveng.v25i1reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/reveng/article/view/654/432Almeida, Thomé SimplicianoSediyama, Gilberto Chohakude Alencar, Leônidas Penainfo:eu-repo/semantics/openAccess2023-01-19T13:32:22Zoai:ojs.periodicos.ufv.br:article/654Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T13:32:22Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHOD ESTIMATIVA DA PRODUTIVIDADE DE CAFEEIROS IRRIGADOS PELO MÉTODO ZONA AGROECOLÓGICA ESPECTRAL |
title |
YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHOD |
spellingShingle |
YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHOD Almeida, Thomé Simpliciano balanço hídrico modelo agrometeorológico sensoriamento remoto |
title_short |
YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHOD |
title_full |
YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHOD |
title_fullStr |
YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHOD |
title_full_unstemmed |
YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHOD |
title_sort |
YIELD ESTIMATE OF IRRIGATED COFFEE BY SPECTRAL AGRO ECOLOGICAL ZONE METHOD |
author |
Almeida, Thomé Simpliciano |
author_facet |
Almeida, Thomé Simpliciano Sediyama, Gilberto Chohaku de Alencar, Leônidas Pena |
author_role |
author |
author2 |
Sediyama, Gilberto Chohaku de Alencar, Leônidas Pena |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Almeida, Thomé Simpliciano Sediyama, Gilberto Chohaku de Alencar, Leônidas Pena |
dc.subject.por.fl_str_mv |
balanço hídrico modelo agrometeorológico sensoriamento remoto |
topic |
balanço hídrico modelo agrometeorológico sensoriamento remoto |
description |
The notorious role of coffee in Brazilian economy justifies and motivates the realization of scientific researches that contribute to the improvement of the culture monitoring, refine the productivity estimation and offer political support for planning and commercialization. In this context, the present thesis aimed the monitoring and the productivity estimation of coffee plantations – located in the northwest of Minas Gerais – by means of an agrometeorological-spectral model. The spectral monitoring was done through the behavior of the EVI and NDVI vegetation indexes, fed by spectral data from MODIS sensor with the MOD13Q1 product. The original mathematical agrometeorologycal model is based on the penalization of cultivation potential productivity due to the hydric deficit between the culture potential evapotranspiration (ETc) and the real evapotranspiration (ET), adjusted by different sensibility culture coefficients (ky) for different fenological states. A value of r² was obtained by adjustment of the model parameters for the plantations and resulted between 0,79 and 0,95 and also a concordance index “d” Willmott between 0,93 and 0,95 for different pivots. The satisfactory results confirm the potential of the agrometeorological-spectral model application for estimation of productivity of plantations. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03-31 |
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 |
https://periodicos.ufv.br/reveng/article/view/654 10.13083/reveng.v25i1.727 |
url |
https://periodicos.ufv.br/reveng/article/view/654 |
identifier_str_mv |
10.13083/reveng.v25i1.727 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/654/432 |
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 Federal de Viçosa - UFV |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
dc.source.none.fl_str_mv |
Engineering in Agriculture; Vol. 25 No. 1 (2017); 1-11 Revista Engenharia na Agricultura - REVENG; v. 25 n. 1 (2017); 1-11 2175-6813 1414-3984 10.13083/reveng.v25i1 reponame:Engenharia na Agricultura instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Engenharia na Agricultura |
collection |
Engenharia na Agricultura |
repository.name.fl_str_mv |
Engenharia na Agricultura - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br |
_version_ |
1800211146064527360 |