The implementation of climate change analysis on food crop production
The objective of this research is to develop a system for analysing actual rainfall data and potential data on agricultural land area, harvest area and production using the Oldeman classification on prediction/estimation. This will be achieved by integrating multiple regression methods and building an application implementation programme as an instrument of information on the effect of climate change on food production (rice) that can be used to predict. The study employs multiple regression analysis and correlation of predictors to estimate and predict the statistical analysis aimed at ascertaining the extent of the influence of climate change on food production (rice) and the accuracy of the data using RMSE (Root Mean Square Error).The research is intended for use in an information system, where data that has been classified or processed is interpreted to provide accurate information to maintain local and national food security and the welfare of farmers. The information processing system is designed to transform data into useful information, or to convert data from a form that is not readily usable into a form that is beneficial to the intended recipients
Keywords- Instrument of information, oldeman climate classification, regression analysis, RMSE
