KEYWORDS: Mathematical modeling, Solar radiation models, Decision support systems, Systems modeling, Agriculture, Ions, Data modeling, Chromium, Solar radiation, Monte Carlo methods
Crop growth programs have been used in decision support systems for farmers for quite some time. However, the problem with these programs is that they are mostly crop specific, and are intended for use by educated personnel. In our paper, we explore the use of a generic crop growth model that can be integrated into a decision support system for farmers. We try and identify variables that have a significant impact on crop yield through sensitivity analysis. Such variables can then be implemented as a part of the decisions available to the users.
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