SDSS for agricultural applications is quite complex; it requires knowledge from various multidisciplinary areas, such as crop agronomy, computer hardware and software, mathematics, and statistics. For example, to understand crop growth, it is necessary to know how many variables affect crop growth, how each variable affects crop growth? Each crop requires a different optimum value…