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	Provedor de dados AgEcon (2) Autor Archer, Thomas (1) Bronson, Kevin (1) Brown, Steve M. (1) Bynum, Edsel (1) Flanders, Archie (1) Machado, Stephen (1) Segarra, Eduardo (1) Shurley, W. Donald (1) Watson, Susan (1) White, Fred C. (1) Mais... Palavra-chave Mathematical optimization (2) C61 (1) Cotton production technologies (1) Crop Production/Industries (1) Precision farming (1) Q16 (1) Risk aversion (1) Technology adoption (1) Whole farm analysis (1) Mais... Tipo do documento Conference Paper or Presentation (1) Journal Article (1) Ano 2003 (2) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última PRECISION FARMING IN IRRIGATED CORN PRODUCTION: AN ECONOMIC PERSPECTIVE AgEcon 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 Profit and Variance Analysis of Cotton Production Technologies and Rotation Crops in Georgia AgEcon Flanders, Archie; White, Fred C.; Shurley, W. Donald; Brown, Steve M.. Genetically modified cotton varieties have the potential for increasing returns and/or decreasing labor requirements. A nonlinear optimization model is applied to a whole farm analysis for evaluating cotton production technologies. This model maximizes farm utility, composed of expected returns and their variability, at various risk aversion levels in order to evaluate cotton production technologies. Results show that while conventional cotton maximizes utility in a risk-neutral situation, transgenic cotton varieties entered into the optimal solutions as higher levels of risk aversion were considered. Tipo: Journal Article Palavras-chave: Cotton production technologies; Mathematical optimization; Risk aversion; Whole farm analysis; C61; Q16. Ano: 2003 URL: http://purl.umn.edu/43204 Registros recuperados: 2 Primeira ... 1 ... Última

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