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Dynamic Optimization of Fertilizer Application with Carryover and Runoff AgEcon
Zhou, Xia (Vivian); Clark, Christopher D.; Lambert, Dayton M..
The Economics of fertilizer application has been an interesting issue in regard to crop production (Kennedy et al., 1973). Understanding the temporal dynamics complicates the issue along two dimensions: fertilizer carryover and fertilizer runoff. Fertilizer carryover measures the amount of fertilizer applied in the previous period that is available for crops in current growing period (Kennedy et al., 1973). Fertilizer runoff refers to fertilizer leaving the ground and flowing into water bodies. Thus, the optimal quantity of fertilizer to be applied in the current period depends on the amount of previous application, runoff, and carryover. Because fertilizer carryover and runoff makes optimization of application a complicated intertemporal problem, static...
Tipo: Conference Paper or Presentation Palavras-chave: Dynamic Optimization; Fertilizer Application; Carryover; And Runoff; Crop Production/Industries; Land Economics/Use; Production Economics; Resource /Energy Economics and Policy.
Ano: 2011 URL: http://purl.umn.edu/103442
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Forget the Hoe: Managing Invasive Plant Species with Dynamic Programming" AgEcon
Verdone, Michael; Frasier, W. Marshall.
Abstract Bromus Tectorum is an invasive plant species known to reduce abundance of native perennial grasses, increase fire frequency and intensity, decrease animal performance, and alter microbial communities and ecosystem processes. Specifically, in the Intermountain West, Bromus has been associated with decreases in livestock performance. Land managers use several methods to control invasion, but no previous studies fully integrate the dynamic interaction between control methods and the biophysical behavior of Bromus invasion. This research uses dynamic programming in conjunction with a process based ecological model to solve for optimal management strategies of Bromus invasion. The model represents biological responses to different management strategies...
Tipo: Conference Paper or Presentation Palavras-chave: Dynamic Programming; Invasive Species; Dynamic Optimization; Agricultural Economics; Natural Resource Economics; Environmental Economics; Environmental Economics and Policy; Farm Management; Land Economics/Use; Livestock Production/Industries; Production Economics; Resource /Energy Economics and Policy.
Ano: 2010 URL: http://purl.umn.edu/61025
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Dynamic Optimization of Nitrogen Use in Agriculture AgEcon
Burnett, J. Wesley; Ferrer, Myra Clarisse R..
Agricultural production is highly dependent on inorganic substances including fertilizers. High-yielding crop varieties, such as corn, require large amounts of primary nutrients including nitrogen, phosphorus and potassium. Farmers often add a surplus of nutrients to crops to maximize yields. Utilization of primary nutrients has increased by more than 300% while that of nitrogen alone has increased by more than 600% between 1960 and 2007 (USDA, 2009). From 1964 to 2007, the use of nitrogen in the corn sector alone increased from 1,623,000 to 5,714,000 nutrient tons (USDA, 2009). While increasing production, increased fertilizer use can potentially create negative externalities in the form of nitrate-nitrogen contamination in groundwater....
Tipo: Working or Discussion Paper Palavras-chave: Environmental Economics; Nitrogen/Nitrate Contamination; Dynamic Optimization; Agriculture; Agricultural and Food Policy; Demand and Price Analysis; Environmental Economics and Policy; C61; C63; Q10; Q51; Q53.
Ano: 2010 URL: http://purl.umn.edu/96032
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Dynamic Optimization of Area Revenue Insurance and Consumption Smoothing AgEcon
Lin, Shanshan; Mullen, Jeffrey D.; Wetzstein, Michael E..
This study examines the interaction between insurance, credit and liquidity constraints using a stochastic dynamic model. A risk averse farmer whose objective is to manage both production and market risk is assumed to maximize the expected utility of life-time consumption by using both area revenue (AR) insurance and consumption smoothing subject to a credit constraint. The dynamic programming is coded in MATLAB using DDPSOLVE algorithm (Appendix a). DSSAT crop simulation model is used to determine optimal irrigation strategy and to simulate farm level yield. A Bayesian Model is used to estimate expected county-level revenue. The approach and results are illustrated via a numerical example using county level data from Mitchell County in Georgia. Results...
Tipo: Conference Paper or Presentation Palavras-chave: Area Revenue Insurance; Consumption Smoothing; Credit Risk; Dynamic Optimization; Bayesian Modeling; Agricultural Finance; Farm Management; Financial Economics.
Ano: 2010 URL: http://purl.umn.edu/61419
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