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Object-Oriented Modeling System (Modeling of Phosphorus Transport - Sugarcane)
PI: Co-PIs: Post-Doc: Graduate student:
Funding Source: Florida Department of Environmental Protection
An expert system that assists growers in selection and application of best management practices (BMPs) related to water and nutrition in ridge citrus (NUMAPS) has been be expanded and extended to flatwood citrus and sugarcane. The objectives are to model (calibrate and validate) water flux and phosphorus transport in sugarcane in low-relief basins. We adopted an ontology-based modeling design to provide flexibility to simulate processes in small basins. Our web-based software environment incorporates easily into day-to-day production operation management. BMPs in the form of rules are compiled into a database and displayed in the software as appropriate for on-site decision making. Computer simulations of the plant, soil moisture, and nutrient uptake enhance rule-based BMPs by providing more accurate assessments of water and nutrient utilization and runoff. The system is designed to optimize yields in an economically effective manner while greatly reducing the environmental impact of excess fertilizer and water applications.
Peer-reviewed Publications: Beck H.W., K.T. Morgan, Y. Jung, S. Grunwald, H.-Y. Kwon and J. Wu. 2010. Ontology-based simulation in agricultural systems modeling. Agricultural Systems J. 103: 463-477. Kwon H.-Y., S. Grunwald, H.W. Beck, Y. Jung, S.H. Daroub, T.A. Lang, and K.T. Morgan. 2010. Ontology-based simulation of water flow in organic soils applied to Florida’s sugarcane. Agric. Wat. Manag. J. 97: 112-122. Kwon H.-Y., S. Grunwald, H.W. Beck, Y. Jung, S.H. Daroub, T.A. Lang and K.T. Morgan. 2010. Modeling of phosphorus loads in sugarcane in a low-relief landscape using ontology-based simulation. J. Environ. Qual. 39: 1-11. Beck. H., K. Morgan, Y. Jung, S. Grunwald, H.-Y. Kwon. 2008. Ontology-based simulation applied to soil, water and nutrient management. pp. 209-243. In P. Papajorgji (ed.) Advances in Modeling Agricultural Systems, Springer, Berlin.
Presentations: Kwon H.Y., S. Grunwald, H.W. Beck, Y. Jung, S.H. Daroub, T.A. Lang and K.T. Morgan. 2009. Modeling of phosphorus loads from Florida sugarcane farms using ontology-based simulation. ASA-CSSA-SSSA Meeting in Pittsburgh, PA, Nov. 1-5, 2009. (poster - pdf)
Kwon H.Y., S. Grunwald, H.W. Beck, Y. Jung, S.H. Daroub and T.A. Lang. 2009. Automatic calibration of ontology-based model for simulating water table fluctuations on farms in the Everglades Agricultural Area. Soil and Water Science Research Forum, Gainesville, FL, Sept. 11, 2009. Kwon H.-Y., S. Grunwald, H.W. Beck, Y.C. Jung, S. Daroub, T.A. Lang and K.T. Morgan. 2008. Ontology-based simulation of water flow and phosphorus in organic soils used for sugarcane. Joint Meeting ASA-CSSA-SSSA and Geological Society of America in Houston, TX, Oct. 5-9, 2008. Kwon H.-Y., S. Grunwald, H.W. Beck. Y. Jung, S. Daroub, T.A. Lang and K.T. Morgan. 2008. Ontology-based simulation of daily water table fluctuations on Histosols in the Everglades Agricultural Area. Soil and Water Science Research Forum, Gainesville, FL, Sept., 2008. (poster - pdf)
Kwon H.-Y., S. Grunwald, H. W. Beck and K. T. Morgan. 2007. Ontology-based simulations for minimizing environmental impacts of Florida sugarcane production. ASA-CSSA-SSSA Meeting in New Orleans, LA, Nov. 4-8, 2007. Kwon H.-Y.,
S. Grunwald, H. W. Beck and K. T. Morgan. 2007. A nutrient management plan
support system for assessing water and nutrient utilization in Florida
sugarcane production. Soil and Water Science Research Forum, Gainesville,
FL, Sept. 14, 2007. (poster
- pdf) Beck H., K. Morgan, J. Scholberg, and S. Grunwald. 2006. Implementation of in-season irrigation and nutrient yools for minimizing environmental impacts of citrus and sugarcane production. World Congress on Computers in Agriculture, Orlando, FL, July 24-26, 2006. (pdf) Morgan K., H. Beck, J. Scholberg, and S. Grunwald. 2006. In-season irrigation and nutrient decision suport system for citrus production. World Congress on Computers in Agriculture, Orlando, FL, July 24-26, 2006. (pdf) |