Crop models are useful for evaluating crop growth and yield at the field regional scales, but their applications accuracies restricted by input data availability quality. To overcome difficulties inherent to modeling, can be enhanced incorporation of remotely sensed observations into models. This approach has been recognized an important way monitor conditions predict scale. In recent years, sa...

With the ability to monitor soil moisture in time comes the opportunity to develop ways to incorporate these measurements into predictive models, without compromising or overriding the model physics. The importance of soil moisture to the growth of crops is well understood and because of this it is recognized as one of the more important parts of crop modeling programs. This research focused on...