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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
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A COMPUTABLE ECONOMIC THRESHOLD MODEL FOR WEEDS IN FIELD CROPS WITH MULTIPLE PESTS, QUALITY EFFECTS, AND AN UNCERTAIN SPRAYING PERIOD LENGTH AgEcon
Marra, Michele C.; Gould, Thomas D.; Porter, Gregory A..
A model is developed to determine the minimum weed population where a decision to apply a postmergence herbicide would be profitable. The economic threshold model accounts for changing economic conditions, the effect of weeds on crop quality, the effect of multiple weed species on yield and quality, and uncertainty about spraying period length. The model is uncomplicated enough for microcomputer or programmable calculator applications. An example of weed threshold calculations for round white potatoes is given.
Tipo: Journal Article Palavras-chave: Crop Production/Industries.
Ano: 1989 URL: http://purl.umn.edu/28804
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A Genetically Engineered Crop's Impact on Pesticide Use: A Revealed-Preference Index Approach AgEcon
Sydorovych, Olha; Marra, Michele C..
A revealed-preference-based method is proposed for assessment of the environmental and human health impact of genetically engineered (GE) crops. This method employs the relative pesticide toxicity information from farmers' pesticide choices combined with volume of pesticides as an alternative to previous methods which are based on volume only, on number of pesticide applications, or on stated preferences. The method is applied to estimate the changes in the impact of herbicides after environmental and health perspective. The results indicate that, on average, a reduction in herbicide human heath and environmental impacts occurs when farmers adopt RR soybean varieties.
Tipo: Journal Article Palavras-chave: Environmental impact; Genetically engineered crops; Pesticide risk index; Revealed preference information; Roundup Ready soybeans; Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies.
Ano: 2007 URL: http://purl.umn.edu/7083
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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
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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
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Adoption and Abandonment of Precision Soil Sampling in Cotton Production AgEcon
Walton, Jonathan C.; Lambert, Dayton M.; Roberts, Roland K.; Larson, James A.; English, Burton C.; Larkin, Sherry L.; Martin, Steven W.; Marra, Michele C.; Paxton, Kenneth W.; Reeves, Jeanne M..
Adoption of precision agriculture technology has arrived considerable attention, but abandonment has received little. This paper identified factors motivating adoption and abandonment of precision soils sampling in cotton. Younger producers who farmed more cotton area, owned more of their cropland, planted more non-cotton area, or used a computer 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, or used variable-rate fertilizer application were less likely to abandon precision soil sampling.
Tipo: Journal Article Palavras-chave: Abandonment; Adoption; Cotton; Precision; Agriculture; Soil sampling; Southeastern United States; Crop Production/Industries.
Ano: 2008 URL: http://purl.umn.edu/46556
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Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming AgEcon
Roberts, Roland K.; English, Burton C.; Larson, James A.; Cochran, Rebecca L.; Goodman, W. Robert; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Shurley, W. Donald; Reeves, Jeanne M..
Probit analysis identified factors that influence the adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmer who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information technology. The probability of adopting variable-rate input application technology was higher for younger farmers who operated larger farms, owned more of the land they farmed, were more informed about the costs and benefits of precision farming, and were optimistic about the future of precision farming. Computer use was not important, possibly because custom hiring shifts the burden of computer use to agribusiness firms.
Tipo: Journal Article Palavras-chave: Cotton; Grid soil sampling; Precision farming; Probit; Sample selection; Site-specific information; Technology adoption; Variable-rate application; D21; Q12; Q16.
Ano: 2004 URL: http://purl.umn.edu/42943
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ADOPTION OF SPATIAL INFORMATION GATHERING TECHNOLOGIES AND VARIABLE RATE INPUT APPLICATION TECHNOLOGIES BY COTTON FARMERS IN THE SOUTHEAST AgEcon
Martin, Steven W.; Roberts, Roland K.; English, Burton C.; Larson, James A.; Cochran, Rebecca L.; Goodman, W. Robert; Larkin, Sherry L.; Marra, Michele C.; Shurley, W. Donald; Reeves, Jeanne M..
Probit analysis identified factors influencing adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmers who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information technology. The probability of adopting variable rate input application technology was higher for younger farmers who operated larger farms, owned more of the land they farmed, were more informed about the costs and benefits of precision farming, and were optimistic about the future of precision farming. Computer use was not important possibly because custom hiring shifts the burden of computer use to agribusiness firms.
Tipo: Conference Paper or Presentation Palavras-chave: Research and Development/Tech Change/Emerging Technologies.
Ano: 2004 URL: http://purl.umn.edu/34768
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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
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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
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Do Farmers Value The Environment? Evidence from the Conservation Reserve Program Auctions AgEcon
Vukina, Tomislav; Levy, Armando; Marra, Michele C..
The paper uses data from the Conservation Reserve Program (CRP) auctions to elicit farmers' attitudes toward the environment by analyzing their bids. The CRP pays farmers to remove land from production and put it to a conservation use. An interesting aspect of these auctions is that winners are determined by a combination of low bids and environmental scores of individual plots. The results indicate that farmers condition their bids on the strength of their environmental scores and that they consistently value those environmental improvements which are concentrated locally such as reduced soil erosion, while they place less emphasis on those benefits which resemble public goods such as air quality and wildlife habitat.
Tipo: Conference Paper or Presentation Palavras-chave: Environmental Economics and Policy; D44; D82; Q51; Q58.
Ano: 2006 URL: http://purl.umn.edu/25233
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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
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Factors Affecting Perceived Improvements in Environmental Quality from Precision Farming AgEcon
Larkin, Sherry L.; Perruso, Larry; Marra, Michele C.; Roberts, Roland K.; English, Burton C.; Larson, James A.; Cochran, Rebecca L.; Martin, Steven W..
This study identified the factors that influenced whether farmers in the Southeastern United States perceived an improvement in environmental quality from adopting precision farming technologies (PFTs). Farmers with larger farms or higher yields were more likely to believe that they observed positive externalities associated with PFTs. Farmers who found PFTs profitable or who believed input reduction was important had higher probabilities whereas those with higher incomes or who were more dependent on farm income were less likely to perceive such benefits. Interestingly, the importance of environmental quality and length of time using PFTs were not found to affect the probability of perceiving an improvement in environmental quality.
Tipo: Journal Article Palavras-chave: Precision agriculture; Site-specific farming; Variable rate application; C25; Q12; Q24.
Ano: 2005 URL: http://purl.umn.edu/42787
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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
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Factors Influencing Farmer Adoption of Portable Computers for Site-Specific Management: A Case Study for Cotton Production AgEcon
Walton, Jonathan C.; Larson, James A.; Roberts, Roland K.; Lambert, Dayton M.; English, Burton C.; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Paxton, Kenneth W.; Reeves, Jeanne M..
Personal digital assistants (PDA) and handheld global positioning systems (GPS) have become increasingly important in cotton production but little is known about their use. This research analyzed the adoption of PDA/handheld GPS devices in cotton production. A younger farmer who used a computer in farm management and had a positive perception of Extension had a greater likelihood of adopting the devices. In addition, farmers who used complementary remote sensing, plant mapping, and grid soil sampling information were more likely to use PDA/handheld GPS devices. Finally, the COTMAN in-field decision support program from Extension also positively impacted adoption.
Tipo: Journal Article Palavras-chave: Decision support; Information technology; Precision farming technology; Variable rate technology; Agribusiness; Community/Rural/Urban Development; Crop Production/Industries; Farm Management; Land Economics/Use; Research and Development/Tech Change/Emerging Technologies; Teaching/Communication/Extension/Profession; D21; Q12; Q16.
Ano: 2010 URL: http://purl.umn.edu/90671
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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
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How Farmers Bid Into the Conservation Reserve Program: An Empirical Analysis of CRP Offers Data AgEcon
Jacobs, Keri L.; Thurman, Walter N.; Marra, Michele C..
Replaced with revised version of paper 07/19/11.
Tipo: Conference Paper or Presentation Palavras-chave: Land Economics/Use.
Ano: 2011 URL: http://purl.umn.edu/103675
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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
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INFORMATION QUALITY, TECHNOLOGY DEPRECIATION, AND BT COTTON ADOPTION IN THE SOUTHEAST AgEcon
Marra, Michele C.; Hubbell, Bryan J.; Carlson, Gerald A..
In 1996, Bt cotton became one of the first genetically engineered crops to be available commercially. This study focuses on the various sources and quality of information about Bt cotton profitability available to farmers in the Southeast and assesses the relative importance of such information in the farmers' adoption decisions. A model of the individual decision to adopt is developed to incorporate two recent theories of the role of information quality (the "effective information" hypothesis and the "popularity" hypothesis) as well as the effect of current technology depreciation. The data show some support for all three factors as determinants of adoption.
Tipo: Journal Article Palavras-chave: Crop Production/Industries.
Ano: 2001 URL: http://purl.umn.edu/31158
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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
Registros recuperados: 43
Primeira ... 123 ... Última
 

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