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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
13/12/2019 |
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Data da última atualização: |
13/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
JARAMILLO-GIRALDO, C.; FERREIRA, W. P. M.; FONSECA, H. P.; RIBEIRO, M. de F.; SILVA, L. M. R.; FERNANDES, R. B. A. |
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Afiliação: |
Carolina Jaramillo-Giraldo, Empresa de Pesquisa Agropecuária de Minas Gerais - EPAMIG; WILLIAMS PINTO MARQUES FERREIRA, CNPCa; Humberto Paiva Fonseca; Marcelo de Freitas Ribeiro, Empresa de Pesquisa Agropecuária de Minas Gerais - EPAMIG; Laís Maria Rodrigues Silva, Universidade Federal de Viçosa - UFV/Departamento de Ciência do Solo; Raphael Bragança Alves Fernandes, Universidade Federal de Viçosa - UFV/Departamento de Ciência do Solo. |
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Título: |
Relationship Between Spatio-Temporal Leaf Area Index and Crop Coefficient When Monitoring Coffee Plots in Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Agricultural Science, v. 11, n. 15, p, 187-199, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Robust monitoring techniques for perennial crops have become increasingly possible due to technological advances in the area of Remote Sensing (RS), and the products are available through the European Space Agency (ESA) initiative. RS data provides valuable opportunities for detailed assessments of crop conditions at plot level using high spatial, spectral, and temporal resolution. This study addresses the monitoring of coffee at the plot level using RS, analyzing the relationship between the spatio-temporal variability of the Leaf Area Index (LAI) and the crop coefficient (Kc); the Kc being a biophysical variable that integrates the potential hydrological characteristics of an agroecosystem compared to the reference crop. Daily and one-year Kc were estimated using the relation of crop evapotranspiration and reference. ESA Sentinel-2 images were pre-analyzed and atmospherically corrected, and Top-of-the-Atmosphere (TOA) reflections converted to Top-of-the-Canopy (TOC) reflectance. The TOCs resampled at the 10m resolution, and with the angles corresponding to the directional information at the time of the acquisition, the LAI was estimated using the trained neural network available in the Sentinel Application Platform (SNAP). During 75% of the monitored days, Kc ranged between 1.2 and 1.3 and, the LAI analyzed showed high spatial and temporal variability at the plot level. Based on the relationship between the biophysical variables, the LAI variable can substitute the Kc and be used to monitor the water conditions at the production area as well as analyze spatial variability inside that area. Sentinel-2 products could be more useful in monitoring coffee in the farm production area. MenosRobust monitoring techniques for perennial crops have become increasingly possible due to technological advances in the area of Remote Sensing (RS), and the products are available through the European Space Agency (ESA) initiative. RS data provides valuable opportunities for detailed assessments of crop conditions at plot level using high spatial, spectral, and temporal resolution. This study addresses the monitoring of coffee at the plot level using RS, analyzing the relationship between the spatio-temporal variability of the Leaf Area Index (LAI) and the crop coefficient (Kc); the Kc being a biophysical variable that integrates the potential hydrological characteristics of an agroecosystem compared to the reference crop. Daily and one-year Kc were estimated using the relation of crop evapotranspiration and reference. ESA Sentinel-2 images were pre-analyzed and atmospherically corrected, and Top-of-the-Atmosphere (TOA) reflections converted to Top-of-the-Canopy (TOC) reflectance. The TOCs resampled at the 10m resolution, and with the angles corresponding to the directional information at the time of the acquisition, the LAI was estimated using the trained neural network available in the Sentinel Application Platform (SNAP). During 75% of the monitored days, Kc ranged between 1.2 and 1.3 and, the LAI analyzed showed high spatial and temporal variability at the plot level. Based on the relationship between the biophysical variables, the LAI variable can substitute the Kc and ... Mostrar Tudo |
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Palavras-Chave: |
Satellite crop monitoring sentinel-2. |
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Thesaurus Nal: |
Crop coefficient; Leaf area index. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206996/1/Relationship-between-Spatio-Temporal.pdf
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Marc: |
LEADER 02427naa a2200217 a 4500
001 2116841
005 2019-12-13
008 2019 bl uuuu u00u1 u #d
100 1 $aJARAMILLO-GIRALDO, C.
245 $aRelationship Between Spatio-Temporal Leaf Area Index and Crop Coefficient When Monitoring Coffee Plots in Brazil.$h[electronic resource]
260 $c2019
520 $aRobust monitoring techniques for perennial crops have become increasingly possible due to technological advances in the area of Remote Sensing (RS), and the products are available through the European Space Agency (ESA) initiative. RS data provides valuable opportunities for detailed assessments of crop conditions at plot level using high spatial, spectral, and temporal resolution. This study addresses the monitoring of coffee at the plot level using RS, analyzing the relationship between the spatio-temporal variability of the Leaf Area Index (LAI) and the crop coefficient (Kc); the Kc being a biophysical variable that integrates the potential hydrological characteristics of an agroecosystem compared to the reference crop. Daily and one-year Kc were estimated using the relation of crop evapotranspiration and reference. ESA Sentinel-2 images were pre-analyzed and atmospherically corrected, and Top-of-the-Atmosphere (TOA) reflections converted to Top-of-the-Canopy (TOC) reflectance. The TOCs resampled at the 10m resolution, and with the angles corresponding to the directional information at the time of the acquisition, the LAI was estimated using the trained neural network available in the Sentinel Application Platform (SNAP). During 75% of the monitored days, Kc ranged between 1.2 and 1.3 and, the LAI analyzed showed high spatial and temporal variability at the plot level. Based on the relationship between the biophysical variables, the LAI variable can substitute the Kc and be used to monitor the water conditions at the production area as well as analyze spatial variability inside that area. Sentinel-2 products could be more useful in monitoring coffee in the farm production area.
650 $aCrop coefficient
650 $aLeaf area index
653 $aSatellite crop monitoring sentinel-2
700 1 $aFERREIRA, W. P. M.
700 1 $aFONSECA, H. P.
700 1 $aRIBEIRO, M. de F.
700 1 $aSILVA, L. M. R.
700 1 $aFERNANDES, R. B. A.
773 $tJournal of Agricultural Science$gv. 11, n. 15, p, 187-199, 2019.
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Registro original: |
Embrapa Café (CNPCa) |
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Origem |
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Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril; Embrapa Soja. |
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Data corrente: |
27/01/2023 |
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Data da última atualização: |
30/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
BOTELHO, F. M.; SCHOPF, P. A.; RAMOS JUNIOR, E. U.; SOUZA, Í. P.; BOTELHO, S. de C. C. |
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Afiliação: |
FERNANDO MENDES BOTELHO, UNIVERSIDADE FEDERAL DE MATO GROSSO; PEDRO ALEXANDRE SCHOPF, UNIVERSIDADE FEDERAL DE MATO GROSSO; EDISON ULISSES RAMOS JUNIOR, CNPSO; ÍCARO PERERIRA SOUZA, UNIVERSIDADE FEDERAL DE MATO GROSSO; SILVIA DE CARVALHO CAMPOS BOTELHO, CPAMT. |
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Título: |
Épocas de dessecação nos atributos pós-colheita de grãos de soja. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Agrarian, v. 15, n. 55, e15683, 2022. |
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Páginas: |
12 p. |
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DOI: |
10.30612/agrarian.v15i55.15683 |
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Idioma: |
Português |
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Conteúdo: |
Resumo: Visando aumentar a janela de plantio da segunda safra, a aplicação de herbicida dessecante na lavoura de soja antes da maturação fisiológica dos grãos tem sido prática comum no médio norte de Mato Grosso, por parte dos produtores. Assim, objetivou-se, por meio deste trabalho, avaliar o efeito da aplicação de dessecante em diferentes estádios fenológicos da lavoura de soja nos aspectos físicos e químicos dos grãos, em Sinop-MT, durante a safra da soja 2018/19. As cultivares BRS 7980 e M 8372 IPRO foram dessecadas em cinco estádios fenológicos distintos (R5.5, R6, R7.1, R7.3, R8.1). Após a colheita, os grãos foram secos, limpos e classificados. Em seguida, determinou-se a massa específica aparente, a massa de mil grãos e os componentes de composição centesimal (fibra bruta, extrato etéreo, proteína, cinzas, carboidrato e água). A antecipação da dessecação reduziu a massa de mil grãos, aumentou a massa específica aparente e diminuiu a quantidade de óleo nos grãos. A aplicação do herbicida dessecante no estádio recomendado reduziu as injúrias causadas por patógenos nos grãos de soja das duas cultivares. | Abstract: In order to increase the planting window of the second crop, some producers have used an application of desiccant herbicide before physiological maturation of soybeans in the middle northern of Mato Grosso. The objective of this work was to evaluate the effect of desiccant application at different stages of maturation of soybean crops, and to evaluate the influence of this operation on physical and chemical aspects of the grains. We used grains from cultivars BRS 7980 and M 8372 IPRO. For each cultivar evaluated, desiccation occurred in five phenological stages (R5.5, R6, R7.1, R7.3, R8.1). After harvesting, the beans were dried, cleaned and classified. The anticipation of desiccation reduced the mass of a thousand grains, increased the apparent specific mass and decreased the amount of oil in the grains. The application of the desiccant herbicide at the recommended stage reduced the deterioration of the grains in the field, caused by pathogens. MenosResumo: Visando aumentar a janela de plantio da segunda safra, a aplicação de herbicida dessecante na lavoura de soja antes da maturação fisiológica dos grãos tem sido prática comum no médio norte de Mato Grosso, por parte dos produtores. Assim, objetivou-se, por meio deste trabalho, avaliar o efeito da aplicação de dessecante em diferentes estádios fenológicos da lavoura de soja nos aspectos físicos e químicos dos grãos, em Sinop-MT, durante a safra da soja 2018/19. As cultivares BRS 7980 e M 8372 IPRO foram dessecadas em cinco estádios fenológicos distintos (R5.5, R6, R7.1, R7.3, R8.1). Após a colheita, os grãos foram secos, limpos e classificados. Em seguida, determinou-se a massa específica aparente, a massa de mil grãos e os componentes de composição centesimal (fibra bruta, extrato etéreo, proteína, cinzas, carboidrato e água). A antecipação da dessecação reduziu a massa de mil grãos, aumentou a massa específica aparente e diminuiu a quantidade de óleo nos grãos. A aplicação do herbicida dessecante no estádio recomendado reduziu as injúrias causadas por patógenos nos grãos de soja das duas cultivares. | Abstract: In order to increase the planting window of the second crop, some producers have used an application of desiccant herbicide before physiological maturation of soybeans in the middle northern of Mato Grosso. The objective of this work was to evaluate the effect of desiccant application at different stages of maturation of soybean crops, and to evaluate the infl... Mostrar Tudo |
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Palavras-Chave: |
Dessecação; Propriedade física. |
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Thesagro: |
Glycine Max; Grão; Maturação; Pós-Colheita; Soja. |
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Thesaurus NAL: |
Physical properties; Seed maturation; Soybeans. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/246032/1/Agrarian-2022-Epocas-de-dessecacao-nos-atributos-pos-colheita-de-graos-de-soja-1-ocred.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1151311/1/2022-cpamt-sccb-epoca-dessecacao-atributos-pos-colheita-grao-soja.pdf
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Marc: |
LEADER 02985naa a2200313 a 4500
001 2151358
005 2023-01-30
008 2022 bl uuuu u00u1 u #d
024 7 $a10.30612/agrarian.v15i55.15683$2DOI
100 1 $aBOTELHO, F. M.
245 $aÉpocas de dessecação nos atributos pós-colheita de grãos de soja.$h[electronic resource]
260 $c2022
300 $a12 p.
520 $aResumo: Visando aumentar a janela de plantio da segunda safra, a aplicação de herbicida dessecante na lavoura de soja antes da maturação fisiológica dos grãos tem sido prática comum no médio norte de Mato Grosso, por parte dos produtores. Assim, objetivou-se, por meio deste trabalho, avaliar o efeito da aplicação de dessecante em diferentes estádios fenológicos da lavoura de soja nos aspectos físicos e químicos dos grãos, em Sinop-MT, durante a safra da soja 2018/19. As cultivares BRS 7980 e M 8372 IPRO foram dessecadas em cinco estádios fenológicos distintos (R5.5, R6, R7.1, R7.3, R8.1). Após a colheita, os grãos foram secos, limpos e classificados. Em seguida, determinou-se a massa específica aparente, a massa de mil grãos e os componentes de composição centesimal (fibra bruta, extrato etéreo, proteína, cinzas, carboidrato e água). A antecipação da dessecação reduziu a massa de mil grãos, aumentou a massa específica aparente e diminuiu a quantidade de óleo nos grãos. A aplicação do herbicida dessecante no estádio recomendado reduziu as injúrias causadas por patógenos nos grãos de soja das duas cultivares. | Abstract: In order to increase the planting window of the second crop, some producers have used an application of desiccant herbicide before physiological maturation of soybeans in the middle northern of Mato Grosso. The objective of this work was to evaluate the effect of desiccant application at different stages of maturation of soybean crops, and to evaluate the influence of this operation on physical and chemical aspects of the grains. We used grains from cultivars BRS 7980 and M 8372 IPRO. For each cultivar evaluated, desiccation occurred in five phenological stages (R5.5, R6, R7.1, R7.3, R8.1). After harvesting, the beans were dried, cleaned and classified. The anticipation of desiccation reduced the mass of a thousand grains, increased the apparent specific mass and decreased the amount of oil in the grains. The application of the desiccant herbicide at the recommended stage reduced the deterioration of the grains in the field, caused by pathogens.
650 $aPhysical properties
650 $aSeed maturation
650 $aSoybeans
650 $aGlycine Max
650 $aGrão
650 $aMaturação
650 $aPós-Colheita
650 $aSoja
653 $aDessecação
653 $aPropriedade física
700 1 $aSCHOPF, P. A.
700 1 $aRAMOS JUNIOR, E. U.
700 1 $aSOUZA, Í. P.
700 1 $aBOTELHO, S. de C. C.
773 $tAgrarian$gv. 15, n. 55, e15683, 2022.
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Embrapa Soja (CNPSO) |
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