The article is reviewed the current and existing methods of fragrant rice crop yield
and production forecasts in Thailand and their potential application for seasonal prediction.
While several government agencies have carried out the forecast task, however, the further
research is needed in order to minimize risk and maximize efficiency of agricultural resources.
Incorporation of emerging methods could lead to a new strategy to forecast yields and
production as well as to provide timely and reliable forecasts, by adopting integrated agroinformatic
tools. The manual crop cutting, end-of-season farmer surveys, remote sensing,
spatial databases and decision support system tools and simulation models were reviewed. We
concluded that the spatial databases and climate and crop simulation models provided the
opportunities to establish an inclusive and integrated platform for farmers, government agencies
and private firms to participate in the important task of seasonal forecasting for fragrant rice
production systems in Thailand.