Weather forecast information, where the rainfall is crucial factor, is extremely needed in agriculture sector so the farmer can predict the beginning of growing season in the planting calendar. The planting calendar is required by Department of Agriculture to maximize the agricultural production. In this research, it has been conducted using evolving neural network (ENN) algorithm on forecasting system. The forecasting system is used by Department of Agriculture of Bandung Regency (Indonesia) to recommend the beginning of growing season for the farmers. The data used in the research is gained from Department of Agriculture and Indonesian Agency for Meteorology Climatology and Geophysics (BMKG) including monthly rainfall forecasting data from 2003-2012 in Soreang (Bandung Regency). The research can be successfully conducted because of rainfall forecasting application system remains best accuracy of 70%.

evolving neural network, rainfall, agriculture, planting calendar.