| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
06/01/2016 |
|
Data da última atualização: |
07/01/2020 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
GONÇALVES, R. R. do V.; ZULLO JÚNIOR, J.; PERON, T. M.; EVANGELISTA, S. R. M.; ROMANI, L. A. S. |
|
Afiliação: |
RENATA RIBEIRO DO VALLE GONÇALVES, Unicamp; JURANDIR ZULLO JÚNIOR, Unicamp; TAIS MARQUES PERON, Estagiária CNPTIA; SILVIO ROBERTO MEDEIROS EVANGELISTA, CNPTIA; LUCIANA ALVIM SANTOS ROMANI, CNPTIA. |
|
Título: |
Numerical models to forecast the sugarcane production in regional scale based on time series of NDVI/AVHRR images. |
|
Ano de publicação: |
2015 |
|
Fonte/Imprenta: |
In: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES, 8., 2015, Annecy. Proceedings... [Piscataway]: IEEE, 2015. |
|
Páginas: |
Não paginado. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Abstract: The use of time series of meteorological satellite images, such as the AVHRR/NOAA, and agrometeorological data can be very useful in developing monitoring and forecasting methods for sugarcane crops because they are based on detection changes of space-time behavior. The knowledge about different sugarcane producing areas and climate in a given region is information required to develop models that can be applied simultaneously to several producing municipalities of sugarcane in order to assess the relation between NDVI and WRSI, the estimated productivity and the detection of similarity between the municipalities through distance functions. Thus, the main goal of this paper is to propose numerical models applied to monitor the sugarcane production based on time series of NDVI/AVHRR images and agrometeorological data. The regression method analyzes the relation between a single dependent variable (sugarcane production) and several independent variables (planted area, NDVI, WRSI), that is, use the independent variables whose values are known to predict the values of the selected dependent variable. The models proposed to estimate the sugarcane production using the variables planted area, NDVI and WRSI presented correlation coefficients (R2) around 0.9 and are able to estimate the sugarcane production for the state of São Paulo in Brazil |
|
Palavras-Chave: |
Cana-de-açúcar; Dados de sensoriamento remoto; Linear regression; Multiple linear regression; Remote sensing data; Séries temporais. |
|
Thesaurus Nal: |
Sugarcane; Time series analysis. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02310nam a2200265 a 4500
001 2033024
005 2020-01-07
008 2015 bl uuuu u00u1 u #d
100 1 $aGONÇALVES, R. R. do V.
245 $aNumerical models to forecast the sugarcane production in regional scale based on time series of NDVI/AVHRR images.$h[electronic resource]
260 $aIn: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES, 8., 2015, Annecy. Proceedings... [Piscataway]: IEEE$c2015
300 $aNão paginado.
520 $aAbstract: The use of time series of meteorological satellite images, such as the AVHRR/NOAA, and agrometeorological data can be very useful in developing monitoring and forecasting methods for sugarcane crops because they are based on detection changes of space-time behavior. The knowledge about different sugarcane producing areas and climate in a given region is information required to develop models that can be applied simultaneously to several producing municipalities of sugarcane in order to assess the relation between NDVI and WRSI, the estimated productivity and the detection of similarity between the municipalities through distance functions. Thus, the main goal of this paper is to propose numerical models applied to monitor the sugarcane production based on time series of NDVI/AVHRR images and agrometeorological data. The regression method analyzes the relation between a single dependent variable (sugarcane production) and several independent variables (planted area, NDVI, WRSI), that is, use the independent variables whose values are known to predict the values of the selected dependent variable. The models proposed to estimate the sugarcane production using the variables planted area, NDVI and WRSI presented correlation coefficients (R2) around 0.9 and are able to estimate the sugarcane production for the state of São Paulo in Brazil
650 $aSugarcane
650 $aTime series analysis
653 $aCana-de-açúcar
653 $aDados de sensoriamento remoto
653 $aLinear regression
653 $aMultiple linear regression
653 $aRemote sensing data
653 $aSéries temporais
700 1 $aZULLO JÚNIOR, J.
700 1 $aPERON, T. M.
700 1 $aEVANGELISTA, S. R. M.
700 1 $aROMANI, L. A. S.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Arroz e Feijão. |
|
Data corrente: |
04/01/2018 |
|
Data da última atualização: |
04/01/2018 |
|
Tipo da produção científica: |
Resumo em Anais de Congresso |
|
Autoria: |
FILIPPI, M. C.; SPERANDIO, E. M.; VALE, H. M. M. do; CORTES, M. V. de C. B.; LANNA, A. C. |
|
Afiliação: |
MARTA CRISTINA CORSI DE FILIPPI, CNPAF; EUGENIO MIRANDA SPERANDIO, UNB; HELSON MARIO MARTINS DO VALE, UNB; MARCIO VINICIUS DE C BARROS CORTES, CNPAF; ANNA CRISTINA LANNA, CNPAF. |
|
Título: |
Rhizobacteria in upland rice in Brazil: growth promotion and induced defense responses interaction against leaf blast (Magnaporthe oryzae). |
|
Ano de publicação: |
2017 |
|
Fonte/Imprenta: |
In: BIOSTIMULANTS WORLD CONGRESS, 3., 2017, Miami. Abstracts... Miami: NewAgInternational, 2017. |
|
Páginas: |
p. 199. |
|
Idioma: |
Inglês |
|
Conteúdo: |
The objective was to evaluate the simultaneous stimulation of growth promotion and defense responses against M. oryzae in rice plants caused by rhizobacteria BRM 32110 and BRM 32114. |
|
Palavras-Chave: |
Blast; Rizosphere bacteria. |
|
Thesagro: |
Arroz; Brusone; Doença de planta; Fungo; Oryza sativa. |
|
Thesaurus NAL: |
Blast disease; Magnaporthe oryzae; Rice. |
|
Categoria do assunto: |
H Saúde e Patologia |
|
Marc: |
LEADER 01077nam a2200289 a 4500
001 2084234
005 2018-01-04
008 2017 bl uuuu u00u1 u #d
100 1 $aFILIPPI, M. C.
245 $aRhizobacteria in upland rice in Brazil$bgrowth promotion and induced defense responses interaction against leaf blast (Magnaporthe oryzae).$h[electronic resource]
260 $aIn: BIOSTIMULANTS WORLD CONGRESS, 3., 2017, Miami. Abstracts... Miami: NewAgInternational$c2017
300 $ap. 199.
520 $aThe objective was to evaluate the simultaneous stimulation of growth promotion and defense responses against M. oryzae in rice plants caused by rhizobacteria BRM 32110 and BRM 32114.
650 $aBlast disease
650 $aMagnaporthe oryzae
650 $aRice
650 $aArroz
650 $aBrusone
650 $aDoença de planta
650 $aFungo
650 $aOryza sativa
653 $aBlast
653 $aRizosphere bacteria
700 1 $aSPERANDIO, E. M.
700 1 $aVALE, H. M. M. do
700 1 $aCORTES, M. V. de C. B.
700 1 $aLANNA, A. C.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
