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United States Department of Agriculture

Agricultural Research Service

Title: Application of Crop Simulation Models to Precision Agriculture in Missouri

Authors
item Fraisse, Clyde
item Sudduth, Kenneth
item Kitchen, Newell

Submitted to: Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: October 29, 1997
Publication Date: N/A

Technical Abstract: Site-specific crop management (SSCM) requires not only a basic understanding of the effects of spatial factors on crop yield, but also the ability to analyze the impact of both spatial and temporal alternative management practices on crop production and the environment. Crop models can simulate major biological interactions and weather effects in agricultural production systems and can play an important role in providin information for SSCM. These models have been quite successful in dealing with time, but they lack a spatial context and are often spatially aggregated or lumped parameter models. Geographic Information Systems (GIS) can represent the spatial variation of field characteristics or management practices and provide an ideal structure for modeling. This study verifies the ability of the CERES-Maize and CROPGRO-Soybean models to simulate the variations measured during the cropping seasons of 1993 and 1994 in an experimental field located in central Missouri. GIS software was used to provide the site-specific input data and to analyze the results obtained.

Last Modified: 10/1/2014
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