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| Registros recuperados: 79 | |
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| 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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| Garrod, Peter V.; Roberts, Roland K.. |
| A model describing the choice of technology is developed from theoretical considerations. It is shown that the model can be approximated using a logit function. Estimates of short-run elasticities are easily obtained. The model is then applied to the decision to place feeder cattle in confined feeding situations or on range. With one possible exception, the results are consistent with theoretical expectations and with previous studies. |
| Tipo: Journal Article |
Palavras-chave: Livestock Production/Industries. |
| Ano: 1983 |
URL: http://purl.umn.edu/32091 |
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| 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 |
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| 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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| Cho, Seong-Hoon; Lambert, Dayton M.; Roberts, Roland K.; Kim, Seung Gyu. |
| This research evaluates the effects of a hypothetical land value tax as a smart growth policy to curtail urban sprawl in the mid-sized metropolitan areas of the Southeastern United States. The effectiveness of a hypothetical land value tax on moderating urban sprawl is determined by changes in demand for neighborhood open space, and its relationships with lot size and proximity to the central business district (CBD). Achieving this goal will (1) provide applied researchers with an empirical foundation from which the spatial dynamics of urban sprawl in local housing markets can be measured, and (2) provide policy makers, especially in the large and mid-sized metro areas of the Southeast, with an ex ante instrument through which alternative incentives... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Community/Rural/Urban Development; Land Economics/Use. |
| Ano: 2008 |
URL: http://purl.umn.edu/6150 |
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| Jenkins, Amanda; Velandia, Margarita M.; Lambert, Dayton M.; Roberts, Roland K.; Larson, James A.; English, Burton C.; Martin, Steven W.. |
| Precision farming information demanded by cotton producers is provided by various suppliers, including consultants, farm input dealerships, University Extension systems, and media sources. Factors associated with the decisions to select among information sources to search for precision farming information are analyzed using a multivariate probit regression accounting for correlation among the different selection decisions. Factors influencing these decisions are age, education, and income. These findings should be valuable to precision farming information providers who may be able to better meet their target clientele needs. |
| Tipo: Journal Article |
Palavras-chave: Extension; Information-source-use decisions; Media; Multivariate probit; Precision agriculture technologies; Private sources; Farm Management; Teaching/Communication/Extension/Profession. |
| Ano: 2011 |
URL: http://purl.umn.edu/117779 |
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| Mooney, Daniel F.; Roberts, Roland K.; English, Burton C.; Tyler, Donald D.; Larson, James A.. |
| Switchgrass (Panicum virgatum L.) has been identified as a model feedstock for the emerging biofuels industry. Its selection was based, in part, upon the observation that switchgrass can produce high yields in marginal production environments. This trait may become particularly valuable in coming years, as renewable fuel mandates begin to take effect and concerns over the food-versus-fuel debate increase. Relatively little research information exists about how management practices and production costs vary across different production environments. The objectives of this research were (a) to compare switchgrass yields as influenced by seeding rate and nitrogen fertilization rates in low-, intermediate-, and high-yielding switchgrass production environments,... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Crop Production/Industries; International Relations/Trade. |
| Ano: 2008 |
URL: http://purl.umn.edu/6403 |
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| 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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| Larson, James A.; Jaenicke, Edward C.; Roberts, Roland K.; Tyler, Donald D.. |
| A Just-Pope model was developed to assess tillage, nitrogen, weather, and pest effects on risk for cotton grown after alternative winter cover crops. Yield risk for cotton after hairy vetch was less than for cotton with no winter cover when no nitrogen fertilizer was used to supplement the vetch nitrogen. However, because cotton after vetch has a higher production cost, farmers growing conventionally tilled cotton may be slow to adapt because risk-return tradeoffs may be unacceptable under risk neutrality and risk aversion. For risk-averse farmers who have already adopted no tillage, cotton grown after hairy vetch is risk efficient. |
| Tipo: Journal Article |
Palavras-chave: Cover crops; Just-Pope production function; Risk; Tillage; Crop Production/Industries. |
| Ano: 2001 |
URL: http://purl.umn.edu/15458 |
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| Mooney, Daniel F.; Roberts, Roland K.; English, Burton C.; Lambert, Dayton M.; Larson, James A.; Velandia, Margarita M.; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Mishra, Ashok K.; Paxton, Kenneth W.; Rejesus, Roderick M.; Segarra, Eduardo; Wang, Chenggang; Reeves, Jeanne M.. |
| Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey |
| Tipo: Report |
Palavras-chave: Cotton; Precision farming; Survey; Agribusiness; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies. |
| Ano: 2010 |
URL: http://purl.umn.edu/91333 |
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| Velandia, Margarita M.; Lambert, Dayton M.; Mendieta, Maria P.; Roberts, Roland K.; Larson, James A.; English, Burton C.; Rejesus, Roderick M.; Mishra, Ashok K.. |
| Information generated by precision farming technologies is of particular importance to producers. Precision farming technologies implies the ability to improve the management of production factors using site-specific information. This study examines factors influencing cotton farmers’ perceptions about the importance of crop consultants, farm input dealerships, Extension, other farmers, trade shows, the Internet and printed news/media for making precision farming decisions using a rank ordered logit model (ROLM). Results suggest that age, land tenure, income, percentage of income from farming, and location may affect farmers’ perceptions about the importance of different information sources when making decisions about precision farming technologies.... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Information-source preferences; Rank Ordered Logit Model; Precision Farming; Production Economics; Research Methods/ Statistical Methods; Q16; C25. |
| Ano: 2011 |
URL: http://purl.umn.edu/103752 |
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| Roberts, Roland K.; Vieth, Gary R.; Nolan, James C., Jr.. |
| A quarterly econometric model of the Hawaii beef production sector is estimated. Energy prices influence the model through Hawaii beef and feed prices which are a function of Mainland-to-Hawaii freight rates. Energy prices also influence the decision of whether to allocate feeder animals to feedlots or pasture. Through simulation, it was found that rapidly increasing energy prices after 1973 resulted in a 22 percent reduction in total Hawaii beef production. The composition of production also changed toward more grain fed and less grass fed beef. Given these results, other state and national beef modelers might find it useful to include energy prices in their models. |
| Tipo: Journal Article |
Palavras-chave: Livestock Production/Industries; Resource /Energy Economics and Policy. |
| Ano: 1984 |
URL: http://purl.umn.edu/32370 |
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| Park, William M.; Lamons, Kevin S.; Roberts, Roland K.. |
| Communities in most states are under pressure to reduce the amount of solid waste going into landfills. Many are making efforts to encourage their citizens to practice backyard composting. A logit regression analysis was conducted to identify factors associated with backyard composting of yard and food wastes in a case study area. Sample data were obtained through a September 1997 telephone survey of 865 households residing in single-family dwellings in Knox County, Tennessee. Findings indicate that a number of variables reflecting complementary behavior, attitudes, knowledge, and peer influence were significantly related to composting behavior. Policy implications of these findings are outlined. |
| Tipo: Journal Article |
Palavras-chave: Resource /Energy Economics and Policy. |
| Ano: 2002 |
URL: http://purl.umn.edu/31391 |
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| Registros recuperados: 79 | |
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