Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 43
Primeira ... 123 ... Última
Imagem não selecionada

Imprime registro no formato completo
Precision Agriculture Technology Adoption for Cotton Production AgEcon
Paxton, Kenneth W.; Mishra, Ashok K.; Chintawar, Sachin; Larson, James A.; Roberts, Roland K.; English, Burton C.; Lambert, Dayton M.; Marra, Michele C.; Larkin, Sherry L.; Reeves, Jeanne M.; Martin, Steven W..
Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the number of specific types of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the influence of spatial yield variability on the number of precision farming technologies adopted, using a Count data estimation procedure and farm-level data. Results indicate that farmers with more within-field yield variability adopted a larger number of precision agriculture technologies. Younger and better educated producers and the number of precision agriculture technologies were significantly correlated. Finally, farmers using computers for...
Tipo: Conference Paper or Presentation Palavras-chave: Precision technologies; Poisson; Negative Binomial; Count-data method; GIS; Education; Cotton; Agricultural and Food Policy; Farm Management; Labor and Human Capital; Land Economics/Use; Productivity Analysis; Resource /Energy Economics and Policy.
Ano: 2010 URL: http://purl.umn.edu/56486
Imagem não selecionada

Imprime registro no formato completo
Farmers' Perceptions about Spatial Yield Variability and Precision Farming Technology Adoption: An Empirical Study of Cotton Production in 12 Southeastern States AgEcon
Kotsiri, Sofia; Rejesus, Roderick M.; Marra, Michele C.; Velandia, Margarita M..
This paper examines how cotton farmers' perceptions about their spatial yield variability influence their decision to adopt precision farming technologies. Utilizing cross-section survey data from 12 Southeastern states and a two-step econometric modeling approach, we find that farmers who perceive their yields as more spatially heterogeneous will more likely use site specific information gathering technologies and apply their inputs at a variable rate. In addition, our empirical analysis shows that perceptions about future profitability and importance of precision farming, along with socio-economic factors, also drive the technology adoption decision. These results have implications for producers contemplating the variable rate management decisions, as...
Tipo: Conference Paper or Presentation Palavras-chave: Multinomial logit; Endogeneity; Variable rate input applications; Site specific information gathering technology; Yield perceptions; Agribusiness; Farm Management; Production Economics; Productivity Analysis; Q12; Q16.
Ano: 2011 URL: http://purl.umn.edu/98689
Imagem não selecionada

Imprime registro no formato completo
A META-ANALYSIS OF RATES OF RETURN TO AGRICULTURAL R & D: EX PEDE HERCULEM? AgEcon
Alston, Julian M.; Chan-Kang, Connie; Marra, Michele C.; Pardey, Philip G.; Wyatt, T.J..
Tipo: Report Palavras-chave: Research and Development/Tech Change/Emerging Technologies.
Ano: 2000 URL: http://purl.umn.edu/16535
Imagem não selecionada

Imprime registro no formato completo
ESTIMATING THE DEMAND FOR A NEW TECHNOLOGY: BT COTTON AND INSECTICIDE POLICIES IN THE SOUTHEAST AgEcon
Hubbell, Bryan J.; Marra, Michele C.; Carlson, Gerald A..
Tipo: Conference Paper or Presentation Palavras-chave: Research and Development/Tech Change/Emerging Technologies.
Ano: 2000 URL: http://purl.umn.edu/26016
Imagem não selecionada

Imprime registro no formato completo
HOW PRICE INSTABILITY COMPLICATES THE ANALYSIS OF PRICE SUPPORTS: DISCUSSION AgEcon
Marra, Michele C..
Tipo: Journal Article Palavras-chave: Agricultural and Food Policy; Demand and Price Analysis.
Ano: 1985 URL: http://purl.umn.edu/28941
Imagem não selecionada

Imprime registro no formato completo
TOWARD A MARKETING STRATEGY FOR FRESH WILD BLUEBERRIES IN THE NORTHEAST AgEcon
Woods, Timothy A.; Marra, Michele C.; Leiby, James D..
Tipo: Journal Article Palavras-chave: Marketing.
Ano: 1990 URL: http://purl.umn.edu/26540
Imagem não selecionada

Imprime registro no formato completo
Valuing the Changes in Herbicide Risks Resulting from Adoption of Roundup Ready Soybeans by U.S. Farmers: An Empirical Analysis of Revealed Value Estimates AgEcon
Sydorovych, Olha; Marra, Michele C..
A revealed-preference approach is proposed for the evaluation of the impact of changed patterns of herbicide use on RR soybeans. The results indicate that farmers consider herbicide safety in their herbicide choices and associate positive values with safety improvements. The aggregate welfare impact of reduced risk for the U.S. soybean farmers was estimated to be $90.3 million in 2001.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2008 URL: http://purl.umn.edu/8215
Imagem não selecionada

Imprime registro no formato completo
Adoption and Abandonment of Precision Soil Sampling in Cotton Production AgEcon
Walton, Jonathan C.; Roberts, Roland K.; Lambert, Dayton M.; Larson, James A.; English, Burton C.; Larkin, Sherry L.; Martin, Steven W.; Marra, Michele C.; Paxton, Kenneth W.; Reeves, Jeanne M..
Technology adoption in precision agriculture has received considerable attention, while abandonment has received little. Our objective was to identify factors motivating adoption and abandonment of precision soil sampling in cotton. Results indicate younger producers who farmed more cotton area, owned more of their cropland, planted more non-cotton area, used a computer, or used a Personal Digital Assistant (PDA) were more likely to adopt precision soil sampling. Those with more cotton area or who owned livestock were more likely to abandon, while those who used precision soil sampling longer, used a PDA, or used variable-rate fertilizer application were less likely to abandon.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2008 URL: http://purl.umn.edu/6215
Imagem não selecionada

Imprime registro no formato completo
QUALITY CHANGES AND LIMITED MARKETING SEASON EFFECTS ON THE DEMAND FOR FRESH BLUEBERRIES AgEcon
Hoelper, Antonia L.; Marra, Michele C..
This study examines the notion that fresh-fruit prices follow a time trend separate from the effect of seasonal supply changes over the marketing season. In particular, quality changes and a limited marketing season are hypothesized to contribute to the seasonal changes in demand. The empirical results support these hypotheses for the Boston fresh-blueberry market.
Tipo: Journal Article Palavras-chave: Demand and Price Analysis.
Ano: 1991 URL: http://purl.umn.edu/29027
Imagem não selecionada

Imprime registro no formato completo
Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming Survey AgEcon
Cochran, Rebecca L.; Roberts, Roland K.; English, Burton C.; Larson, James A.; Goodman, W. Robert; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Paxton, Kenneth W.; Shurley, W. Donald; Reeves, Jeanne M..
Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming Survey
Tipo: Report Palavras-chave: Cotton; Precision farming; Survey; Agribusiness; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies.
Ano: 2006 URL: http://purl.umn.edu/91332
Imagem não selecionada

Imprime registro no formato completo
Intensity of Precision Agriculture Technology Adoption by Cotton Producers AgEcon
Paxton, Kenneth W.; Mishra, Ashok K.; Chintawar, Sachin; Roberts, Roland K.; Larson, James A.; English, Burton C.; Lambert, Dayton M.; Marra, Michele C.; Larkin, Sherry L.; Reeves, Jeanne M.; Martin, Steven W..
Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the role of spatial yield variability on the number of precision farming technologies adopted, using a count data estimation procedure and farm-level data. Results indicate that farmers with more within-field yield variability adopted a higher number of precision agriculture technologies. Younger and better educated producers and the number of precision agriculture technologies used were significantly correlated. Finally, farmers using computers for management decisions...
Tipo: Journal Article Palavras-chave: Precision technologies; Poisson; Negative binomial count data method; GPS; Education; Cotton; Crop Production/Industries; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies.
Ano: 2011 URL: http://purl.umn.edu/105464
Imagem não selecionada

Imprime registro no formato completo
Changes in Producers’ Perceptions of Within-field Yield Variability Following Adoption of Cotton Yield Monitors AgEcon
Rejesus, Roderick M.; Marra, Michele C.; Roberts, Roland K.; English, Burton C.; Larson, James A.; Paxton, Kenneth W..
Tipo: Conference Paper or Presentation Palavras-chave: Precision Farming; Risk; Yield Monitor; Yield Variability; Yield Perceptions; Spatial Yield Distributions; Within Field Variability; Farm Management; Production Economics; Risk and Uncertainty; Q12; Q16.
Ano: 2010 URL: http://purl.umn.edu/60971
Imagem não selecionada

Imprime registro no formato completo
SOURCES OF AND SOLUTIONS FOR SOUTHERN AGRICULTURAL RISK: THE VIEW FROM THE COAST AgEcon
Marra, Michele C..
Tipo: Journal Article Palavras-chave: Risk and Uncertainty.
Ano: 1998 URL: http://purl.umn.edu/15088
Imagem não selecionada

Imprime registro no formato completo
KANSAS WHEAT YIELD RISK MEASURES AND AGGREGATION: A META- ANALYSIS APPROACH AgEcon
Marra, Michele C.; Schurle, Bryan W..
A meta-analysis approach to prediction of farm level yield risk from county level yield series is applied to Kansas wheat yields. A nonlinear relationship between county level and farm level yield risk is found, which indicates that yield risk increases at an increasing rate as the number of acres in the risk measure decreases. County level yield variability should be adjusted upward by approximately .1% for each percent difference in county acreage and average farm acreage within the county. The meta-analysis approach is shown to be promising for the prediction of farm level yield risk when farm level information is difficult to obtain.
Tipo: Journal Article Palavras-chave: Risk and Uncertainty.
Ano: 1994 URL: http://purl.umn.edu/31228
Imagem não selecionada

Imprime registro no formato completo
Relative Importance of Environmental Attributes Using Logistic Regression AgEcon
Carpio, Carlos E.; Sydorovych, Olha; Marra, Michele C..
We investigate the problem of determining the relative importance of attributes in the discrete choice setting. Four alternative methods of extracting the relative importance of attributes are considered. The empirical application involves the development of a risk index system for individual herbicides combining the information on the herbicides' different human and environmental risks. The values of the pesticide risk indices are found to be consistent across the different methods.
Tipo: Conference Paper or Presentation Palavras-chave: Environmental Economics and Policy.
Ano: 2007 URL: http://purl.umn.edu/34846
Imagem não selecionada

Imprime registro no formato completo
The Economic Impact of Genetically Engineered Crops AgEcon
Zilberman, David; Sexton, Steven E.; Marra, Michele C.; Fernandez-Cornejo, Jorge.
Outstanding Choices Article Award, 2011
Tipo: Journal Article Palavras-chave: Biotechnology; GMO; Adoption; Innovation; Productivity; Crop Production/Industries; Q160; Q240; Q420.
Ano: 2010 URL: http://purl.umn.edu/94769
Imagem não selecionada

Imprime registro no formato completo
A Binary Logit Estimation of Factors Affecting Adoption of GPS Guidance Systems by Cotton Producers AgEcon
Banerjee, Swagata (Ban); Martin, Steven W.; Roberts, Roland K.; Larkin, Sherry L.; Larson, James A.; Paxton, Kenneth W.; English, Burton C.; Marra, Michele C.; Reeves, Jeanne M..
Binary logit analysis was used to identify the factors influencing adoption of Global Positioning System (GPS) guidance systems by cotton farmers in 11 Mid-south and Southeastern states. Results indicate that adoption was more likely by those who had already adopted other precision-farming practices and had used computers for farm management. In addition, younger and more affluent farmers were more likely to adopt. Farmers with larger farms and with relatively high yields were also more likely to adopt. Education was not a significant factor in a farmer’s decision to adopt GPS guidance systems.
Tipo: Journal Article Palavras-chave: Binary logit; Cotton; GPS guidance system; Marginal effect; Precision farming; Technology adoption; Agribusiness; Crop Production/Industries; Q2; Q16; Q19; Q20; Q24.
Ano: 2008 URL: http://purl.umn.edu/45530
Imagem não selecionada

Imprime registro no formato completo
Towards a Generalizable Measure of the Value of a Change in Pesticide Use AgEcon
Sydorovych, Olha; Marra, Michele C..
A risk index system combining information on different environmental and health risks of pesticides is developed to evaluate the impact of Roundup Ready (RR) soybean adoption on pesticide use. A data set obtained from a survey of U.S. farmers indicates that on average adoption of RR soybeans results in reduced toxicity of herbicides. The contingent valuation method is used to estimate the value to the farmers of additional herbicide safety.
Tipo: Conference Paper or Presentation Palavras-chave: Risk and Uncertainty.
Ano: 2005 URL: http://purl.umn.edu/19375
Imagem não selecionada

Imprime registro no formato completo
Factors Influencing Adoption of Remotely Sensed Imagery for Site-Specific Management in Cotton Production AgEcon
Larson, James A.; Roberts, Roland K.; English, Burton C.; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Paxton, Kenneth W.; Reeves, Jeanne M..
This research evaluated the factors that influenced cotton producers to adopt remote sensing for variable rate application of inputs. Farmers who were younger, more highly educated, had a larger farm operation, and were more technologically savvy were more likely to have adopted remote sensing.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies.
Ano: 2007 URL: http://purl.umn.edu/34971
Imagem não selecionada

Imprime registro no formato completo
An Ex Ante Analysis of the Benefits from the Adoption of Corn Rootworm Resistant, Transgenic Corn Technology AgEcon
Alston, Julian M.; Hyde, Jeffrey; Marra, Michele C.; Mitchell, Paul D..
This study examined the potential economic impacts in the United States of the commercial adoption of a corn rootworm (CRW) resistant transgenic corn. Using a counterfactual approach, we estimated that if the technology had been made available in the year 2000 at a price that would equate per acre costs to those for insecticide-based corn rootworm control, and adopted on all of the acres treated for corn rootworm in that year, the total benefits would have been $460 million. This benefit includes $171 million to the technology developer and seed companies, $231 million to farmers from yield gains, and a further $58 million to farmers from reduced risk, time savings, and other nonpecuniary benefits associated with reduced use of insecticides. This is a...
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2003 URL: http://purl.umn.edu/57828
Registros recuperados: 43
Primeira ... 123 ... 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

Valid HTML 4.01 Transitional