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Integrating Crop Models into GIS to Predict Regional Crop Yield

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  021196,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.9698) @2002
Authors:   Zhisheng Qing, Dale E. Linvill
Keywords:   Crop Simulation, GIS, Regional, Yield Estimation, Integration

Interfacing crop models with GIS is a powerful tool to provide crop yield forecasting across a geographic region. The peanut simulation model PNUTGO has been integrated into ArcView GIS to simulate regional peanut yield in this study. The system is fully integrated in that it allows user defined management inputs in GIS environment and dynamic simulation and output analysis. Spatial weather inputs can be generated by an Access database interface that is dynamically linked to the system. Soil and crop land use information were predetermined and can be added to the system as plug-in database. Therefore, user-required inputs and parameterizations have been minimized. This paper describes the basic components and features of the simulation system and presents an example application to demonstrate the utility of the application in estimating regional peanut yield in South Carolina.

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