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	Provedor de dados Agronomy (2) Engenharia na Agricultura (1) Autor Duarte, Anunciene Barbosa (3) Ferreira, Lucas Borges (3) Cunha, Fernando França da (2) Fernandes Filho, Elpídio Inácio (2) dos Santos, Edson Fagne (1) Palavra-chave Irrigation scheduling (3) Agrometeorology (2) 5.01.05.00-0 data driven (1) Agrometeorologia (1) Artificial intelligence. (1) Artificial intelligence. Agrometeorologia (1) Data driven (1) Metereologia Agrícola evapotranspiration (1) Missing data (1) Temperature (1) Mais... Tipo do documento Info:eu-repo/semantics/article (3) Ano 2019 (2) 2017 (1) País Brazil (3) Idioma Inglês (2) Português (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última CALIBRATION OF THE HARGREAVES-SAMANI EQUATION FOR SPECIFIC PERIODS OF THE YEAR IN THE MUNICIPALITY OF JAÍBA-MG, BRAZIL Engenharia na Agricultura Duarte, Anunciene Barbosa; Ferreira, Lucas Borges; dos Santos, Edson Fagne. Reference evapotranspiration (ET0) explains the climatic effects on crop water demand. The Food and Agriculture Organization (FAO) recommends the Penman Monteith equation as a standard method for estimating ET0. However, because this equation requires a large amount of meteorological data, it has limited application. An alternative is the Hargreaves-Samani (HS) equation, which only requires air temperature data, and can be calibrated to specifc locations and periods. The present study aimed to calibrate the empirical parameters (coeffcients and exponent) of the HS equation for specifc periods of the year, as well as evaluate the behavior and calibration of this equation throughout the year in the municipality of Jaíba-MG, Brazil. The daily meteorological... Tipo: Info:eu-repo/semantics/article Palavras-chave: Metereologia Agrícola evapotranspiration; Irrigation scheduling; Missing data; Temperature. Ano: 2017 URL: http://www.seer.ufv.br/seer/index.php/reveng/article/view/838 Multivariate adaptive regression splines (MARS) applied to daily reference evapotranspiration modeling with limited weather data Agronomy Ferreira, Lucas Borges; Duarte, Anunciene Barbosa; Cunha, Fernando França da; Fernandes Filho, Elpídio Inácio. Estimation of reference evapotranspiration (ETo) is very relevant for water resource management. The Penman-Monteith (PM) equation was proposed by the Food and Agriculture Organization (FAO) as the standard method for estimation of ETo. However, this method requires various weather data, such as air temperature, wind speed, solar radiation and relative humidity, which are often unavailable. Thus, the objective of this study was to compare the performance of multivariate adaptive regression splines (MARS) and alternative equations, in their original and calibrated forms, to estimate daily ETo with limited weather data. Daily data from 2002 to 2016 from 8 Brazilian weather stations were used. ETo was estimated using empirical equations, PM equation with... Tipo: Info:eu-repo/semantics/article Palavras-chave: Data driven; Irrigation scheduling; Agrometeorology; Artificial intelligence.; Agrometeorologia. Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39880 Multivariate adaptive regression splines (MARS) applied to daily reference evapotranspiration modeling with limited weather data Agronomy Ferreira, Lucas Borges; Duarte, Anunciene Barbosa; Cunha, Fernando França da; Fernandes Filho, Elpídio Inácio. Estimation of reference evapotranspiration (ETo) is very relevant for water resource management. The Penman-Monteith (PM) equation was proposed by the Food and Agriculture Organization (FAO) as the standard method for estimation of ETo. However, this method requires various weather data, such as air temperature, wind speed, solar radiation and relative humidity, which are often unavailable. Thus, the objective of this study was to compare the performance of multivariate adaptive regression splines (MARS) and alternative equations, in their original and calibrated forms, to estimate daily ETo with limited weather data. Daily data from 2002 to 2016 from 8 Brazilian weather stations were used. ETo was estimated using empirical equations, PM equation with... Tipo: Info:eu-repo/semantics/article Palavras-chave: 5.01.05.00-0 data driven; Irrigation scheduling; Agrometeorology; Artificial intelligence. Agrometeorologia. Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39880 Registros recuperados: 3 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco