In the recent years the advancement of empirical and information technologies have rapidly increased the amount of data in the Agronomic domain. However, the data currently available are highly distributed and patchy in nature. Using these data more effectively and taking advantage of associated cross-disciplinary research opportunities poses a major challenge to both domain scientists and information technologists.