
Crop simulation models are valuable tools for evaluating potential effects of environmental, biological and management factors on crop growth and developments. These models need to be applied at larger scales in order to be economically useful so that the effects of various alternate management strategies across the watershed or the region could be analyzed. Linking crop models with Remote sensing and Geographical Information System (GIS) have demonstrated a strong feasibility of crop modeling applications at a spatial scale.