|
|
|
| Registros recuperados: 28 | |
|
| |
|
| |
|
| |
|
|
| Huang, Wen-Yuan; Hyberg, Bengt; Segarra, Eduardo. |
| This paper analyzes a variable price support program (VPS) as an alternative to the current farm income support program. The VPS program can control U.S. agricultural production while protecting income of small farmers. The VPS is designed to alter farm level production decisions by reducing commodity support prices for each additional unit of production produced. This will serve to discourage excess aggregate production. The VPS program can be a mechanism to stabilize income of efficient small farms during the transition from the current farm programs to a free market environment. An illustrative study is used to target government program benefits to various farm-size groups. |
| Tipo: Journal Article |
Palavras-chave: Agricultural Finance. |
| Ano: 1990 |
URL: http://purl.umn.edu/29902 |
| |
|
|
| Segarra, Eduardo; Taylor, Daniel B.. |
| A conceptual optimal control theory model which considers farm level decision making with respect to soil management is developed. A simplified version of the theoretical model is applied to the Piedmont area of Virginia. The model includes the productivity impacts of both soil erosion and technological progress. Both the theoretical model and its empirical application are improvements over previous efforts. Results suggest that farmers in the study area can achieve substantial reductions in soil erosion by adopting alternative farming practices. |
| Tipo: Journal Article |
Palavras-chave: Farm Management. |
| Ano: 1987 |
URL: http://purl.umn.edu/30204 |
| |
|
|
| Paudel, Krishna P.; Pandit, Mahesh; Mishra, Ashok K.; Segarra, Eduardo. |
| We used the 2009 Southern Cotton Precision Farming Survey data collected from farmers in twelve U.S. states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to understand why farmers do not adopt seemingly profitable precision farming technology. Farmers provided cost, time constraint, satisfaction with the current practice and other as reasons for not adopting precision farming technology. Results from a multinomial logit regression model indicated that manure application on field, more formal education, larger farm size, participation in conservation easement or agricultural easement generally decreases the probability of nonadoption of precision agriculture in cotton... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Precision agriculture; Technology adoption; Multinomial logit; Crop Production/Industries; Farm Management; Research and Development/Tech Change/Emerging Technologies; C25; Q16. |
| Ano: 2011 |
URL: http://purl.umn.edu/104828 |
| |
|
| |
|
| |
|
|
| Watson, Susan; Hudson, Darren; Segarra, Eduardo. |
| Precision farming and whole-field farming are compared with respect to yields, net present value of returns above nitrogen and water costs (NPVR), and nitrogen application rates to determine the differences in management practices. Precision farming yields, NPVR, and nitrogen application levels are then compared under yield maximizing verses profit maximizing strategies. The results quantify the gains from technology and management goals of peanut producers and suggest the technology effect is greater than the management effect. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Crop Production/Industries. |
| Ano: 2004 |
URL: http://purl.umn.edu/34606 |
| |
|
|
| Watson, Susan; Segarra, Eduardo; Machado, Stephen; Bynum, Edsel; Archer, Thomas; Bronson, Kevin. |
| A dynamic optimization model is used to assess the profitability of precision and whole-field farming in corn production. Yield, on the average, was higher under whole-field farming practices, while net present value of returns was higher under precision farming, on the average, by 7.41% and 8.15%, respectively. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Precision farming; Mathematical optimization; Technology adoption; Crop Production/Industries. |
| Ano: 2003 |
URL: http://purl.umn.edu/35053 |
| |
|
|
| Velandia, Margarita M.; Rejesus, Roderick M.; Segarra, Eduardo; Bronson, Kevin. |
| This paper develops a management zone delineation procedure based on a spatial statistics approach and evaluates its economic impact for the case of Texas cotton production. With the use of an optimization model that utilizes a yield response function estimated through spatial econometric methods, we found that applying variable N rates based on the management zones delineated would result in higher cotton yields and higher net returns, above Nitrogen cost, relative to uniformly applying a single N rate for the whole field. In addition, a variable rate N application using the delineated management zones produced higher net returns, above Nitrogen cost, relative to a variable N rate system where the zones are based solely on landscape position. This is... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Management Zones; Exploratory Spatial Data Analysis; Site-Specific Nitrogen Management; Cotton Precision Agriculture.; Crop Production/Industries; Q1; Q16. |
| Ano: 2006 |
URL: http://purl.umn.edu/35387 |
| |
|
| |
|
|
| Segarra, Eduardo; Ethridge, Don E.; Deussen, Curtis R.; Onken, Arthur B.. |
| A dynamic optimization model which introduces an intertemporal nitrate-nitrogen residual function is used to derive and evaluate nitrogen fertilizer optimal decision rules for irrigated cotton production in the Southern High Plains of Texas. Results indicate that optimal nitrogen applications critically depend on initial nitrate-nitrogen levels and nitrogen-to-cotton price ratios. Also, the results indicate that single-year optimization leads to suboptimal nitrogen applications, which helps explain long-term cotton yield declines in the Southern High Plains of Texas; but single-year optimization does not significantly impact the net present value of returns of irrigated cotton operations. |
| Tipo: Journal Article |
Palavras-chave: Crop Production/Industries. |
| Ano: 1989 |
URL: http://purl.umn.edu/32359 |
| |
|
| |
|
| |
|
| |
|
|
| Ethridge, Don E.; Segarra, Eduardo; Johnson, Phillip N.; Malaga, Jaime E.; Rejesus, Roderick M.. |
| The department began producing formal reports of research activities in 1995/96 in conjunction with the establishment of the Cotton Economics Research Program; reports on Cotton Economics Research have been done annually since then. As our research programs expanded and diversified, we initiated a separate Departmental Research Report in 1998/99. With this annual report we are combining all research reporting into the single report, with more compartmentalization of research programs. This report highlights research activities in the Department of Agricultural and Applied Economics during fiscal year 2003/04. The overall program has been characterized by its flexibility in addressing varied issues of economic significance and is applied in nature,... |
| Tipo: Report |
Palavras-chave: Teaching/Communication/Extension/Profession. |
| Ano: 2004 |
URL: http://purl.umn.edu/31256 |
| |
|
| |
|
|
| Segarra, Eduardo; Kramer, Randall A.; Taylor, Daniel B.. |
| This paper analyzes the effects of uncertain soil loss in farm planning models. A disaggregated approach was used because of an interest in examining the impact of probabilistic soil loss constraints on farm level decision-making. A stochastic programming model was used to consider different levels of probability of soil loss. Traditional methods of analysis are shown to consistently overestimate net returns. |
| Tipo: Journal Article |
Palavras-chave: Farm Management. |
| Ano: 1985 |
URL: http://purl.umn.edu/29971 |
| |
| Registros recuperados: 28 | |
|
|
|
