|
|
Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Pecuária Sudeste. |
Data corrente: |
06/03/2023 |
Data da última atualização: |
23/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ALMEIDA, S. L. H. DE; SOUSA, J. B. C.; NOGUEIRA, S. F.; PEZZOPANE, J. R. M.; TEIXEIRA, A. H. DE C.; BOSI, C.; ADAMI, M.; ZERBATO, C.; BERNARDI, A. C. de C.; SILVA, G. B. S. da; SILVA, R. P. DA. |
Afiliação: |
SAMIRA LUNS HATUM DE ALMEIDA, São Paulo State University; JARLYSON BRUNNO COSTA SOUZA, São Paulo State University; SANDRA FURLAN NOGUEIRA, CNPMA; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; ANTÔNIO HERIBERTO DE CASTRO TEIXEIRA, Federal University of Sergipe; CRISTIAM BOSI; MARCOS ADAMI, National Institute for Space Research; CRISTIANO ZERBATO, São Paulo State University; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPMA; ROUVERSON PEREIRA DA SILVA, São Paulo State University. |
Título: |
Forage mass estimation in silvopastoral and full sun systems: evaluation through proximal remote sensing applied to the SAFER model. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Remote Sensing, v. 15, n. 3, jan. 2023. |
Páginas: |
18 p. |
DOI: |
ttps://doi.org/10.3390/rs15030815 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: The operational slowness in the execution of direct methods for estimating forage mass, an important variable for defining the animal stocking rate, gave rise to the need for methods with faster responses and greater territorial coverage. In this context, the aim of this study was to evaluate a method to estimate the mass of Urochloa brizantha cv. BRS Piatã in shaded and full sun systems, through proximal sensing applied to the Simple Algorithm for Evapotranspiration Retrieving (SAFER) model, applied with the Monteith Radiation Use Efficiency (RUE) model. The study was carried out in the experimental area of Fazenda Canchim, a research center of Embrapa Pecuária Sudeste, São Carlos, SP, Brazil (21°57′S, 47°50′W, 860 m), with collections of forage mass and reflectance in the silvopastoral systems animal production and full sun. Reflectance data, as well as meteorological data obtained by a weather station installed in the study area, were used as input for the SAFER model and, later, for the radiation use efficiency model to calculate the fresh mass of forage. The forage collected in the field was sent to the laboratory, separated, weighed and dried, generating the variables of pasture total dry mass), total leaf dry mass, leaf and stalk dry mass and leaf area index. With the variables of pasture, in situ, and fresh mass, obtained from SAFER, the training regression model, in which 80% were used for training and 20% for testing the models. The SAFER was able to promisingly express the behavior of forage variables, with a significant correlation with all of them. The variables that obtained the best estimation performance model were the dry mass of leaves and stems and the dry mass of leaves in silvopastoral and full sun systems, respectively. It was concluded that the association of the SAFER model with the proximal sensor allowed us to obtain a fast, precise and accurate forage estimation method. MenosAbstract: The operational slowness in the execution of direct methods for estimating forage mass, an important variable for defining the animal stocking rate, gave rise to the need for methods with faster responses and greater territorial coverage. In this context, the aim of this study was to evaluate a method to estimate the mass of Urochloa brizantha cv. BRS Piatã in shaded and full sun systems, through proximal sensing applied to the Simple Algorithm for Evapotranspiration Retrieving (SAFER) model, applied with the Monteith Radiation Use Efficiency (RUE) model. The study was carried out in the experimental area of Fazenda Canchim, a research center of Embrapa Pecuária Sudeste, São Carlos, SP, Brazil (21°57′S, 47°50′W, 860 m), with collections of forage mass and reflectance in the silvopastoral systems animal production and full sun. Reflectance data, as well as meteorological data obtained by a weather station installed in the study area, were used as input for the SAFER model and, later, for the radiation use efficiency model to calculate the fresh mass of forage. The forage collected in the field was sent to the laboratory, separated, weighed and dried, generating the variables of pasture total dry mass), total leaf dry mass, leaf and stalk dry mass and leaf area index. With the variables of pasture, in situ, and fresh mass, obtained from SAFER, the training regression model, in which 80% were used for training and 20% for testing the models. The SAFER was ... Mostrar Tudo |
Palavras-Chave: |
Digital agriculture; ILPF; Proximal sensor. |
Thesagro: |
Biomassa; Capim Urochloa; Gramínea Forrageira; Sistema de Informação Geográfica; Sombreamento. |
Thesaurus Nal: |
Meteorological data; Urochloa brizantha. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152139/1/Nogueira-Forage-mass-2023.pdf
|
Marc: |
LEADER 03114naa a2200385 a 4500 001 2152139 005 2023-03-23 008 2023 bl uuuu u00u1 u #d 024 7 $attps://doi.org/10.3390/rs15030815$2DOI 100 1 $aALMEIDA, S. L. H. DE 245 $aForage mass estimation in silvopastoral and full sun systems$bevaluation through proximal remote sensing applied to the SAFER model.$h[electronic resource] 260 $c2023 300 $a18 p. 520 $aAbstract: The operational slowness in the execution of direct methods for estimating forage mass, an important variable for defining the animal stocking rate, gave rise to the need for methods with faster responses and greater territorial coverage. In this context, the aim of this study was to evaluate a method to estimate the mass of Urochloa brizantha cv. BRS Piatã in shaded and full sun systems, through proximal sensing applied to the Simple Algorithm for Evapotranspiration Retrieving (SAFER) model, applied with the Monteith Radiation Use Efficiency (RUE) model. The study was carried out in the experimental area of Fazenda Canchim, a research center of Embrapa Pecuária Sudeste, São Carlos, SP, Brazil (21°57′S, 47°50′W, 860 m), with collections of forage mass and reflectance in the silvopastoral systems animal production and full sun. Reflectance data, as well as meteorological data obtained by a weather station installed in the study area, were used as input for the SAFER model and, later, for the radiation use efficiency model to calculate the fresh mass of forage. The forage collected in the field was sent to the laboratory, separated, weighed and dried, generating the variables of pasture total dry mass), total leaf dry mass, leaf and stalk dry mass and leaf area index. With the variables of pasture, in situ, and fresh mass, obtained from SAFER, the training regression model, in which 80% were used for training and 20% for testing the models. The SAFER was able to promisingly express the behavior of forage variables, with a significant correlation with all of them. The variables that obtained the best estimation performance model were the dry mass of leaves and stems and the dry mass of leaves in silvopastoral and full sun systems, respectively. It was concluded that the association of the SAFER model with the proximal sensor allowed us to obtain a fast, precise and accurate forage estimation method. 650 $aMeteorological data 650 $aUrochloa brizantha 650 $aBiomassa 650 $aCapim Urochloa 650 $aGramínea Forrageira 650 $aSistema de Informação Geográfica 650 $aSombreamento 653 $aDigital agriculture 653 $aILPF 653 $aProximal sensor 700 1 $aSOUSA, J. B. C. 700 1 $aNOGUEIRA, S. F. 700 1 $aPEZZOPANE, J. R. M. 700 1 $aTEIXEIRA, A. H. DE C. 700 1 $aBOSI, C. 700 1 $aADAMI, M. 700 1 $aZERBATO, C. 700 1 $aBERNARDI, A. C. de C. 700 1 $aSILVA, G. B. S. da 700 1 $aSILVA, R. P. DA 773 $tRemote Sensing$gv. 15, n. 3, jan. 2023.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Meio Ambiente (CNPMA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registros recuperados : 59 | |
5. | | SANO, E. E.; GIAROLLA, A.; ADAMI, M.; JACKSON, T. J. Calibração da estimativa superficial de solos do Cerrado. In: ANDRADE, S. R. M. de; FALEIRO, F. G.; SERENO, J. R.; DALLA CORTE, J. L.; SOUSA, E. dos S. de (Ed.). Resultados de pesquisa para o Cerrado: 2004-2005. Planaltina, DF: Embrapa Cerrados, 2007. p. 79-82.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Cerrados. |
| |
7. | | SUGAWARA, L. M.; RUDORFF, B. F. T.; ADAMI, M. Viabilidade de uso de imagens do Landsat em mapeamento de área cultivada com soja no Estado do Paraná. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 12, p. 1777-1783, dez. 2008. Título em inglês: Feasibility of the use of Landsat imagery to map soybean crop areas in Paraná, Brazil.Biblioteca(s): Embrapa Unidades Centrais. |
| |
9. | | ADAMI, M.; RIZZI, R.; MOREIRA, M. A.; RUDORFF, B. F. T.; FERREIRA, C. C. Amostragem probabilística estratificada por pontos para estimar a área cultivada com soja. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 6, p. 585-592, jun. 2010 Título em inglês: Probabilistic stratified point sampling to estimate soybean crop area.Biblioteca(s): Embrapa Unidades Centrais. |
| |
10. | | SADECK, L. W. R.; LIMA, A. M. M. de; ADAMI, M. Artificial neural network for ecological-economic zoning as a tool for spatial planning. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n, 11, p. 1050-1062, novembro 2017. Título em português: Rede neural artificial para o zoneamento ecológico-econômico como instrumento de ordenamento territorial.Biblioteca(s): Embrapa Unidades Centrais. |
| |
11. | | GUSSO, A.; FORMAGGIO, A. R.; RIZZI, R.; ADAMI, M.; RUDORFF, B. F. T. Soybean crop area estimation by Modis/Evi data. Pesquisa Agropecuaria Brasileira, Brasília, DF, v. 47, n. 3, p. 425-435, mar. 2012. Título em português: Estimativa de áreas de cultivo de soja por meio de dados Modis/Evi.Biblioteca(s): Embrapa Unidades Centrais. |
| |
12. | | PADOVANI, C. R.; SHIMABUKURO, Y. E.; FREITAS, R. M.; ADAMI, M.; VETTORAZZI, C. A. Spatial analysis of Pantanal wetland flood dynamics determined from modis images: a case study . In: INTECOL INTERNATIONAL WETLANDS CONFERENCE, 8., Cuiabá, 2008. Big wetlands, big concerns: abstracts. [Sl.: s.n], 2008. p.160Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Pantanal. |
| |
13. | | ADAMI, M.; FREITAS, R. M. de; PADOVANI, C. R.; SHIMABUKURO, Y. E.; MOREIRA, M. A. Estudo da dinâmica espaço-temporal do bioma Pantanal por meio de imagens MODIS. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 10, p. 1371-1378, out. 2008. Título em inglês: Spatial-temporal analysis of MODIS image applied to dynamic of Pantanal biome.Biblioteca(s): Embrapa Unidades Centrais. |
| |
16. | | SILVA, G. B. S. da; FORMAGGIO, A. R.; SHIMABUKURO, Y. E.; ADAMI, M.; SANO, E. E. Discriminação da cobertura vegetal do Cerrado matogrossense por meio de imagens MODIS. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 2, p. 186-194, fev. 2010 Título em inglês: Discrimination of Cerrado vegetation cover in the state of Mato Grosso using MODIS images.Biblioteca(s): Embrapa Unidades Centrais. |
| |
19. | | ROSA, V. G. C. da; MOREIRA, M. A.; RUDOFF, B. F. T.; ADAMI, M. Estimativa da produtividade de café com base em um modelo agrometeorológico-espectral. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 12, p. 1478-1488, dez. 2010 Título em inglês: Coffee crop yield estimate using an agrometeorological?spectral model.Biblioteca(s): Embrapa Unidades Centrais. |
| |
20. | | ADAMI, M.; VENTURIERI, A.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; GOMES, A. R. Lulc change on Rondonia, western Brazilian Amazon, by Terraclass project. In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM; CANADIAN SYMPOSIUM ON REMOTE SENSING, 35., 2014, Québec. Energy and our Changing Planet: final program. [S.l.]: IEEE, 2014. Não paginado. IGARSS 2014.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Agricultura Digital. |
| |
Registros recuperados : 59 | |
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|