The large-scale estimation of sugarcane yields is undertaken by various agencies in Thailand. The current method depends on personal experiences and site visits for cross checking. Advances in information technologies, both software and hardware, has created opportunities to improve estimation methods. The OyThai 1.0 interface was evaluated as a link between a DSSAT v 3.5 compatible sugarcane model and an ArcView Windows-based GIs package for use in simulating yields at the farm or regional level. With this system, users must provide spatial data of the area in cane and soil series, weather, and administrative boundary maps and soil profile. The system can be used to estimate yields and economic variables associated with different management practices. Simulation results can be analysed using tabular statistics and thematic maps. The linking, with necessary spatial and attribute databases, has been completed for five key cane-producing provinces covering 1600 krn2 in Thailand.
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