Methodology for the use of DSSAT models for precision agriculture decision supportComputers and Electronics in Agriculture
AbstractA prototype decision support system (DSS) called Apollo was developed to assist researchers in using the Decision Support System for Agrotechnology Transfer (DSSAT) crop growth models to analyze precision farming datasets. Because the DSSAT models are written to simulate crop growth and development within a homogenous unit of land, the Apollo DSS has specialized functions to manage running the DSSAT models to simulate and analyze spatially variable land and management. The DSS has modules that allow the user to build model input ﬁles for spatial simulations across predeﬁned management zones, calibrate the models to simulate historic spatial yield variability, validate the models for seasons not used for calibration, and estimate the crop response and environmental impacts of nitrogen, plant population, cultivar, and irrigation prescriptions. This paper details the functionality of Apollo, and presents the results of an example application.
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Citation InformationKelly R. Thorp, Kendall C. DeJonge, Amy L. Kaleita, William David Batchelor, et al.. "Methodology for the use of DSSAT models for precision agriculture decision support" Computers and Electronics in Agriculture Vol. 64 (2008) p. 276 - 285
Available at: http://works.bepress.com/amy_kaleita/37/