Add to ORKGA 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.Crop Production/Industries,
Fertilizer nitrogen is necessary for the efficient production of grain crops throughout the midwest....
A computer simulation model was used to estimate the impact of different fertilizer management pract...
Farmers in the developed world tend to over-apply fertilizer, and we explore a model for decision-ma...
A dynamic optimization model which introduces an intertemporal nitrate-nitrogen residual function is...
A dynamic optimization model which introduces an intertemporal nitrate-nitrogen residual function is...
Precision farming technology in irrigated cotton production has the potential to precisely manage in...
The Economics of fertilizer application has been an interesting issue in regard to crop production (...
This study evaluates the long-term profitability and environmental impacts of variable rate versus u...
Nitrogen (N) is an essential and often a limiting nutrient in corn production systems. Fertilization...
Identifying the fertilizer-output relationship for a crop would be an important tool for determining...
An economic relationship between agricultural production and groundwater pollution is established fi...
This study evaluates the long-term profitability and environmental impacts of variable rate versus u...
Nitrogen use efficiency (NUE) is of economic and environmental importance. Components of NUE were e...
Rates of nitrogen (N) fertilization usually are selected with the intent of maximizing profits for p...
This note demonstrates that a certain class of stochastic problems for determination of optimal fert...
Fertilizer nitrogen is necessary for the efficient production of grain crops throughout the midwest....
A computer simulation model was used to estimate the impact of different fertilizer management pract...
Farmers in the developed world tend to over-apply fertilizer, and we explore a model for decision-ma...
A dynamic optimization model which introduces an intertemporal nitrate-nitrogen residual function is...
A dynamic optimization model which introduces an intertemporal nitrate-nitrogen residual function is...
Precision farming technology in irrigated cotton production has the potential to precisely manage in...
The Economics of fertilizer application has been an interesting issue in regard to crop production (...
This study evaluates the long-term profitability and environmental impacts of variable rate versus u...
Nitrogen (N) is an essential and often a limiting nutrient in corn production systems. Fertilization...
Identifying the fertilizer-output relationship for a crop would be an important tool for determining...
An economic relationship between agricultural production and groundwater pollution is established fi...
This study evaluates the long-term profitability and environmental impacts of variable rate versus u...
Nitrogen use efficiency (NUE) is of economic and environmental importance. Components of NUE were e...
Rates of nitrogen (N) fertilization usually are selected with the intent of maximizing profits for p...
This note demonstrates that a certain class of stochastic problems for determination of optimal fert...
Fertilizer nitrogen is necessary for the efficient production of grain crops throughout the midwest....
A computer simulation model was used to estimate the impact of different fertilizer management pract...
Farmers in the developed world tend to over-apply fertilizer, and we explore a model for decision-ma...