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The monthly production potential in the eastern provinces of Thailand,by using the rubber production potential models and geo-informatics Result and Discussion
This soil series map and its data in an attribute table was used to matching with the table of crop requirement for rubber (Pratummintra, 2000). The results can be chosen for presenting as a map of problem soil as shown with the problem in soil depth (Fig.5) and soil pH (Fig.8). The suitability index was calculated and related with the characteristics of the soil series, and yielded a suitability map for rubber (Fig. 9). 
Pratummintra et al. (2000) were studied the maximum production potential models and was brought to the GIS. With that models, the monthly production map was interpolated from the planting area, which was located with the GPS. The plantation with the rubber age above 7 year was used to calculate monthly yield (Fig. 2 A-D) . 
Figure 2. The Example of the Monthly Production Potential in Muang District, Chantha Buri Province, which show the increasing yield during the exploiting season. The site index of the rubber plantation was was calculated by applying the parametric approach (Pratummntra et al. 2000). Then, the soil characteristics can be defined as the limitation for rubber production, which can be adapted to increase the actual production close to the maximum production (Figure 3 A-D). 
Figure 3 The Limiting Parameter for Rubber Production in Muang District, Chantha Buri Province
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