Thailand is the world's largest exporter of cassava. The cassava prices fluctuate because of many factors such as the production cost; economic condition; and price intervention. Therefore; this research aims to propose a forecasting model... of cassava price based on the 11-year data (from 2005 to 2015) obtained from the Thai Tapioca Starch Association and Office of Agricultural Economics. Various techniques were applied for the forecast such as Artificial Neural Network; Support Vector Machine

the environment and the weather statistics of the installation area for use in creating the model for forecasting the environment in each period. This model would then assist in the making of decisions such as ideal crops for farmers in order to get productive

The problem of reservoir inflow forecasting plays a critical role in reservoir management. However; reservoir inflow forecasting must be necessarily accurate and timely. This paper presents practical machine learning (ML) technique and the optimal... lead time for reservoir inflow forecasting. The two well-knows ML: Support Vector Regression (SVR) and Random Forests (RF); were used to predict water inflow volume into the reservoir. Both methods will improve the efficiency of the reservoir inflow