Network Modeling for Forecasting Cassava Yield in Khao Hin Sorn Royal Development Study Center Area

Abstract

     In this research, the authors aim to find out network modeling for forecasting cassava yield in Khao Hin Sorn Royal Development Study Center based on Principles of Environmental Systems. The research indicates that there are three structures: soil type, fertilizers used and damaging insects, relating to cassava production. When the authors used these three structures constructed network modeling, we found that the low level of cassava yield (1.8-3.5 tons per rai) consists of 13 models, the medium level of cassava yield (3.6-4.9 tons per rai) consists of 12 models and the high level of cassava yield (5.0-7.0 tons per rai) consists of 7 models. The model giving the highest yield of cassava (7 tons per rai) shows the component of sandy clay loam, fertilizer and organic fertilizer used with no damage from the insects