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Role of automation agents in agribusiness decision support systems 115
Pavlovic,Martin; Koumboulis,Fotis N.; Tzamtzi,Maria P.; Rozman,Crtomir.
Various automation agents can be embedded in a modern Decision Support System in agriculture, based on the following design approaches: E-Learning Agent, Monitoring Agent, Fault Diagnosis Agent, Weather Information Agent, E-Commerce Agent and Logistics Agent. The proposed Agents contribute to farmers' education, to timely correct fault diagnosis and the incorporation of modern agricultural techniques. Moreover, they allow processing historical data, while taking into account several factors in order to support decision making. The preliminary Automation Agents for Decision Support Systems (AADSS) model idea may be applied to various agribusiness activities on international level. Moreover, an operator agent is proposed, that exploits technological and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Applied computer modelling; Decision support systems; Forecasting; IHGC; Information management.
Ano: 2008 URL: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-31952008000800006
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HIV-1 mother-to-child transmission in Brazil (1994-2016): a time series modeling 55
Coelho,Antonio Victor Campos; Coelho,Hemílio Fernandes Campos; Arraes,Luiz Cláudio; Crovella,Sergio.
Abstract HIV-1 mother-to-child transmission (HIV-1 MTCT), is an important cause of children mortality worldwide. Brazil has been traditionally praised by its HIV/Aids program, which provides free-of-charge care for people living with HIV-1. Using public epidemiology and demographic databases, we aimed at modeling HIV-1 MTCT prevalence in Brazil through the years (1994-2016) and elaborate a statistical model for forecasting, contributing to HIV-1 epidemiologic surveillance and healthcare decision-making. We downloaded sets of live births and mothers' data alongside HIV-1 cases notification in children one year old or less. Through time series modeling, we estimated prevalence along the years in Brazil, and observed a remarkable decrease of HIV-1 MTCT...
Tipo: Info:eu-repo/semantics/article Palavras-chave: HIV-1; Vertical transmission; Perinatal transmission; Biostatistics; Epidemiology; Forecasting.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702019000400218
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Multivariate analysis and neural networks application to price forecasting in the Brazilian agricultural market 65
Pinheiro,Carlos Alberto Orge; Senna,Valter de.
ABSTRACT: The purpose of this study is to apply the methodology proposed by PINHEIRO & SENNA (2015) to a set of agricultural products traded in Brazil. The multivariate and nonlinear character of this methodology has shown to be suitable, as compared to the neural network model, since it allows for a better predictive performance. Results obtained in an out-of-sample period, by using the calculated error and statistical test, confirmed this statement. This study will be useful to farmers as price forecasting based on their tendency is relevant.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Neural networks; Multivariate analysis; Agricultural products; Forecasting.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000100931
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Máquinas de soporte vectorial en el análisis de series de tiempo. 32
Rivera Castillo, Enrique.
La evapotranspiración de referencia (ETo) es un proceso no lineal empleado para determinar la cantidad de agua utilizada en los programas de irrigación. El nivel de precisión de esta variable a partir de datos históricos, ha sido siempre fundamental. En este trabajo, se presenta una aplicación de las Máquinas de Soporte Vectorial (SVMs) para la predicción de ETo y se compara su capacidad predictiva con otras dos metodologías de predicción: Redes Neuronales Artificiales de Multicapa (MLP) y modelos Autoregresivos Integrados de Promedio Móvil (ARIMA). Se propone un algoritmo heurístico de refinamiento para la implementación de las SVM resultando en una predicción mucho mejor que la obtenida con los otros dos métodos. La capacidad de predicción fue evaluada...
Palavras-chave: Evapotranspiración; Red neuronal; Predicción; Máquina de soporte vectorial; Evapotranspiration; Neural network; Forecasting; Support vector machine; Estadística; Maestría.
Ano: 2012 URL: http://hdl.handle.net/10521/1693
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Widening the Scope of Scenario Planning in Small Communities: a Case Study Use of an Alternative Method 7
Rawluk, Andrea; University of Alberta; ajrawluk@ualberta.ca; Godber, Annelise; McGill University.; annelise.godber@mail.mcgill.ca.
Scenario planning can be invaluable for empowerment and learning in resource dependent communities. Pre-existing scenario planning methods call for collaboration between community members, but when cultural norms prevented men, women, and youth from coming together in the community of Ukupseni in Panama, the authors and community sought to devise an alternative method. The research objectives were twofold. First, to develop an alternative scenario planning method that would facilitate learning among decision makers about community needs and perspectives, and second, to explore ways to direct desired futures. Instead of forecasting through community-wide collaboration and backcasting with the creation of one vision through consensus, forecasting used...
Tipo: Peer-Reviewed Reports Palavras-chave: Backcasting; Collaboration; Forecasting; Kuna Yala; Scenario planning.
Ano: 2011
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Ideias simples e praticas para uso na exploracao de frutiferas V. Previsor de safra. 14
PINTO, A. C. de Q.; GENU, P. J. de C..
Tipo: Folhetos Palavras-chave: Cultivo; Forecasting; Cerrado; Fruticultura; Fruta; Previsão de Safra; Safra; Fruit growing; Fruits.
Ano: 1981 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/549324
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How do MAR(1) models cope with hidden nonlinearities in ecological dynamics? 5
Certain, Gregoire; Barraquand, Frederic; Gardmark, Anna.
1.Multivariate autoregressive (MAR) models are an increasingly popular technique to infer interaction strengths between species in a community and to predict the community response to environmental change. The most commonly employed MAR(1) models, with one time lag, can be viewed either as multispecies competition models with Gompertz density‐dependence or, more generally, as a linear approximation of more complex, nonlinear dynamics around stable equilibria. This latter interpretation allows for broader applicability, but may come at a cost in terms of interpretation of estimates and reliability of both short‐ and long‐term predictions. 2.We investigate what these costs might be by fitting MAR(1) models to simulated two‐species competition,...
Tipo: Text Palavras-chave: Forecasting; Interaction strength; MARSS; Multivariate autoregressive models; PRESS perturbation.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00439/55085/56521.pdf
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Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season 5
Smith, Gregory C.; Allard, Richard; Babin, Marcel; Bertino, Laurent; Chevallier, Matthieu; Corlett, Gary; Crout, Julia; Davidson, Fraser; Delille, Bruno; Gille, Sarah T.; Hebert, David; Hyder, Patrick; Intrieri, Janet; Lagunas, Jose; Larnicol, Gilles; Kaminski, Thomas; Kater, Belinda; Kauker, Frank; Marec, Claudie; Mazloff, Matthew; Metzger, E. Joseph; Mordy, Calvin; O'Carroll, Anne; Olsen, Steffen M.; Phelps, Michael; Posey, Pamela; Prandi, Pierre; Rehm, Eric; Reid, Phillip; Rigor, Ignatius; Sandven, Stein; Shupe, Matthew; Swart, Sebastiaan; Smedstad, Ole Martin; Solomon, Amy; Storto, Andrea; Thibaut, Pierre; Toole, John; Wood, Kevin; Xie, Jiping; Yang, Qinghua.
There is a growing need for operational oceanographic predictions in both the Arctic and Antarctic polar regions. In the former, this is driven by a declining ice cover accompanied by an increase in maritime traffic and exploitation of marine resources. Oceanographic predictions in the Antarctic are also important, both to support Antarctic operations and also to help elucidate processes governing sea ice and ice shelf stability. However, a significant gap exists in the ocean observing system in polar regions, compared to most areas of the global ocean, hindering the reliability of ocean and sea ice forecasts. This gap can also be seen from the spread in ocean and sea ice reanalyses for polar regions which provide an estimate of their uncertainty. The...
Tipo: Text Palavras-chave: Polar observations; Operational oceanography; Ocean data assimilation; Ocean modeling; Forecasting; Sea ice; Air-sea-ice fluxes; YOPP.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00512/62379/66650.pdf
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Correction of seabed layer thickness in processing subbottom profile data. 20
Wang, Fangqi; Qi, Faqing; Hu, Guanghai; Dong, Lifeng; Tao, Changfei.
The subbottom profiling is an important means of marine engineering survey, hazardous geology study and continental shelf scientific research. The accuracy of subbottom profile data interpretation has a direct impact on the research and investigation results. Because some of profilers’ transducer and hydrophone are separately installed, when the survey area is very shallow, distortion of shallow layers will be caused if it is seen as a self-excited and self-collected single-channel seismic system. According to the principle of subbottom profiler, the distortion correction formula is deduced and analyzed, providing actual value to using C-View software to interpret such subbottom profile data more accurately. In addition, the seabed sediments sound velocity...
Tipo: Journal Contribution Palavras-chave: Crustal thickness; Sound velocity; Porosity; Forecasting.
Ano: 2012 URL: http://hdl.handle.net/1834/5852
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Stover fodder quality traits for dual-purpose sorghum genetic improvement 30
Blümmel, M..
Palavras-chave: Nitrogen; Sorghum; Organic matter; Body weight; Bioreactors; Genetic improvement; Sampling; Aromatic compounds; Forecasting; Metabolism.
Ano: 2006 URL: http://agropedia.iitk.ac.in/openaccess/?q=node/3197
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Food-fodder traits in groundnut 30
Blümmel, M..
Palavras-chave: Genotypes; Nutritive value; Groundnuts; Forecasting; Nitrogen; Yields; Organic matter; Sampling; Quality; Breeds (animals).
Ano: 2005 URL: http://agropedia.iitk.ac.in/openaccess/?q=node/3246
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Morphological, chemical and in vitro stover quality traits to predict the livestock productivity potential of pearl millet stover 30
Alexander, G..
Palavras-chave: Millets; Nitrogen; Leaf area; Cell walls; Statistical methods; Organic matter; Forecasting; Nutritive value; Quality; Statistics.
Ano: 2007 URL: http://agropedia.iitk.ac.in/openaccess/?q=node/3310
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Marigold: A Diagnostic Tool for BGM Forecasting and Management in Chickpea 30
Pande,S.
Palavras-chave: Chickpeas; Forecasting; Fungicides; Fungi; Fruits; Application methods; Developmental stages; Environment; Mass media; Diseases.
Ano: 1997 URL: http://agropedia.iitk.ac.in/openaccess/?q=node/3211
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An easy way to assess photoperiod sensitivity in sorghum: relationships of the vegetative-phase duration and photoperiod sensitivity 30
Clerget, B..
Palavras-chave: Photoperiodicity; Sowing date; Sorghum; Genotypes; Fruits; Forecasting; Latitude; Tropical zones; Replication; Exhibitions.
Ano: 2007 URL: http://agropedia.iitk.ac.in/openaccess/?q=node/3308
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Forecasting of the annual yield of Arabic coffee using water deficiency 86
Aparecido,Lucas Eduardo de Oliveira; Rolim,Glauco de Souza.
Abstract: The objective of this work was to develop agrometeorological models for the forecasting of the annual yields of Arabic coffee (Coffea arabica), using monthly water deficits (DEFs) during the coffee cycle, in important locations in the state of Minas Gerais, Brazil. For the construction of the models, a meteorological data set spanning of 18 years and multiple linear regressions were used. The models were calibrated in high- and low-yield seasons due to the high-biennial yields in Brazil. All calibrated models for high- and low-yield seasons were accurate and significant at 5% probability, with mean absolute percentage errors ≤2.9%. The minimum forecasting period for yield is six months for southern Minas Gerais and Cerrado Mineiro. In high-yield...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffea arabica; Agrometeorology; Climate; Forecasting; Model; Water balance.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018001201299
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A Limited Information Bayesian Forecasting Model of the Cattle SubSector 31
Abidoye, Babatunde O.; Lawrence, John D..
The first step towards forecasting the price and output of the cattle industry is understanding the dynamics of the livestock production process. This study follows up on the Weimar and Stillman (1990) paper by using data from 1970 to 2005 to estimate the parameters that characterizes the cattle output supply. The model is then used to estimate forecast values for the periods 2006 and 2007. Bayesian limited information likelihood method is used to estimate the parameters when endogeneity exists between these variables. The forecasting ability of the model for a two-step ahead forecast for majority of the variables are relatively good and test statistic of the forecast are reported.
Tipo: Conference Paper or Presentation Palavras-chave: Cattle; Bayesian; Forecasting; Inventory; Slaughter; Agribusiness; Agricultural Finance; Financial Economics; Livestock Production/Industries; Marketing; Production Economics; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/53051
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Industrial Coal Demand in China: A Provincial Analysis 31
Cattaneo, Cristina; Manera, Matteo; Scarpa, Elisa.
In recent years, concerns regarding the environmental implications of the rising coal demand have induced considerable efforts to generate long-term forecasts of China’s energy requirements. Nevertheless, none of the previous empirical studies on energy demand for China has tackled the issue of modelling coal demand in China at provincial level. The aim of this paper is to fill this gap. In particular, we model and forecast the Chinese demand for coal using time series data disaggregated by provinces. Moreover, not only does our analysis account for heterogeneity among provinces, but also, given the nature of the data, it captures the presence of spatial autocorrelation among provinces using a spatial econometric model. A fixed effects spatial lag model...
Tipo: Working or Discussion Paper Palavras-chave: Energy demand; Coal demand; China; Spatial econometrics; Panel data; Forecasting; Resource /Energy Economics and Policy; C23; E6; Q31; Q41.
Ano: 2008 URL: http://purl.umn.edu/44425
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Hedonic Price Analysis of Thoroughbred Broodmares in Foal 31
Maynard, Leigh J.; Stoeppel, Kelly M..
Thoroughbred broodmares are the foundation of a successful racing operation. This study estimated the impact of breeding, racing, and market characteristics on broodmare auction prices. Data represent 604 in-foal broodmares sold in Keeneland’s 2005 sale. Prices were highly responsive to the sire’s stud fee, the broodmare’s age, and progeny performance in graded stakes races, with pronounced day-of-sale effects. The stud fee marginal value was substantially lower than one break-even estimate, suggesting possible disincentives for investment in stallion services. Out-of-sample forecasts were far superior to naïve forecasts but were not accurate enough to use in isolation from other decision aids.
Tipo: Journal Article Palavras-chave: Broodmare; Forecasting; Hedonic price analysis; Thoroughbred; Agribusiness; Livestock Production/Industries.
Ano: 2007 URL: http://purl.umn.edu/62295
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FORECASTING MARKET SHARE USING A FLEXIBLE LOGISTIC MODEL 31
Quagrainie, Kwamena K..
There is a strong competition from low-priced imported catfish fillets resulting in a declining market share for domestic farm-raised catfish fillets. To match the competition, catfish processors are embarking on pricing policy measures that are volume-oriented instead of profit- or image-oriented. This could be an effective short-run pricing policy measure for optimal long-run sustainability and profitability of the industry. Volume pricing strategies are aimed at meeting target sales volumes or market shares. This paper explores and compares the performance of the standard logit, the inverse power transformation (IPT) logit and the logarithmic version of the inverse power transformation logit models in terms of generating forecasts for market share...
Tipo: Conference Paper or Presentation Palavras-chave: Market share; Forecasting; Flexible logit; Marketing; Q130; C250; C530.
Ano: 2004 URL: http://purl.umn.edu/34724
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ON THE SUPPLY FUNCTION OF THE HUNGARIAN PORK MARKET 31
Nyars, Levente; Vizvari, Bela.
The Hungarian pork market has been in a decreasing position in the last years. The main reasons for that is the increasing international competition, the Hungarian support system has been replaced by CMO of pigmeat and the decrease of pig meat consumption as a result of customer behaviour. There was no exact estimation of the Hungarian supply function. In a earlier paper we have published for regression equations for it. In the first part of present paper we show that these equations forecasted in a appropriate way the pessimistic scenario. The second part of paper discusses revisited, new regression equations.
Tipo: Book Palavras-chave: International competition; Change of consumers’ behaviour; Price elasticities; Forecasting; Agribusiness; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; International Relations/Trade.
Ano: 2008 URL: http://purl.umn.edu/43245
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