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Registros recuperados: 24
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RISK PERCEPTIONS AND MANAGEMENT RESPONSES: PRODUCER-GENERATED HYPOTHESES FOR RISK MODELING AgEcon
Patrick, George F.; Wilson, Paul N.; Barry, Peter J.; Boggess, William G.; Young, Douglas L..
Farm level risk analyses have used price and yield variability almost exclusively to represent risk. Results from a survey of 149 agricultural producers in 12 states indicate that producers consider a broader range of sources of variability in their operations. Significant differences exist among categories with respect to the importance of the sources of variability in crop and livestock production. Producers also used a variety of management responses to variability. There were significant difference among categories in the importance given to particular responses and their use of them. These results have implications for research, extension, and policy programs.
Tipo: Journal Article Palavras-chave: Risk and Uncertainty.
Ano: 1985 URL: http://purl.umn.edu/29989
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An Investment Analysis Approach to Examining Bio-Control of Invasive Weeds AgEcon
Smith, Elwin G.; Young, Douglas L..
Invasive weeds are a large problem on large tracts of rangeland in North America. Biological methods of control have been instituted, but many information gaps remain. An investment model approach is used to demonstrate some of the potentially key pieces of biological data that are required for an analysis. This model is applied to the control of leafy spurge on rangeland. The results of control are very dependent on the rate of spread and control by the biological control agent, the initial density of the weed, and the recovery of the forage (grass) after the weed has been controlled. Benefits of control are relatively low, as is the cost of the biological control practice. It takes several years before net benefits of the control practice are positive.
Tipo: Conference Paper or Presentation Palavras-chave: Land Economics/Use.
Ano: 2005 URL: http://purl.umn.edu/36286
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FEEDFORWARD NEURAL NETWORK ESTIMATION OF A CROP YIELD RESPONSE FUNCTION AgEcon
Joerding, Wayne H.; Li, Ying; Young, Douglas L..
Feedforward networks have powerful approximation capabilities without the "explosion of parameters" problem faced by Fourier and polynomial expansions. This paper first introduces feedforward networks and describes their approximation capabilities, then we address several practical issues faced by applications of feedforward networks. First, we demonstrate networks can provide a reasonable estimate of a Bermudagrass hay fertilizer response function with the relatively sparse data often available from experiments. Second, we demonstrate that the estimated network with a practical number of hidden units provides reasonable flexibility. Third, we show how one can constrain feedforward networks to satisfy a priori information without losing their flexible...
Tipo: Journal Article Palavras-chave: Biological process models; Feedforward networks; Production function; Neural networks; Research Methods/ Statistical Methods.
Ano: 1994 URL: http://purl.umn.edu/15430
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AN OPERATIONAL APPROACH FOR EVALUATING INVESTMENT RISK: AN APPLICATION TO THE NO-TILL TRANSITION AgEcon
Upadhyay, Bharat Mani; Young, Douglas L..
This study analyses short and long term safety first business risk associated with twenty six no-till transition strategies across four types of farms in eastern Washington. Risk of transition failure generated from risk averse criteria are also contrasted with a risk neutral criterion. Results revealed (1) that speeds of adoption have a larger effect than drill acquisition sequences in successful transition, (2) high equity farm have higher chance of success, and (3) slow acreage expansion with a custom or rental drill is preferred until yield penalty is eliminated.
Tipo: Conference Paper or Presentation Palavras-chave: Farm Management; Risk and Uncertainty.
Ano: 2003 URL: http://purl.umn.edu/35992
Registros recuperados: 24
Primeira ... 12 ... Última
 

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