Decision Support System for Precision Agriculture

India is an agricultural Country and 56.6% of its population depends on agriculture. Designing a Decision Support System (DSS) for crop cultivation enables the farmers to make effective decision for higher yield. The parameters that are considered for the enhancement of a seasonal crop growth are type of soil and season, Insects-Pests management, irrigation methodologies. The main aim of the work is to develop a system that can provide information about the expected yield in each season with better accuracy. The decisions available to them currently are only a shallow guide for farmers due to them being unaware of various methodologies. Inefficiency in a farmers‟ decision results in the low productive rate of paddy than the expected rate. The growth of seasonal crops is decided basically by two factors, namely the soil type and the season. Also based on the crop type the farmer must adoptively use the insecticides and fertilizers. Thus the parameters to be considered are identified and the simulation is tested using a tool called “Netica”. Based on the performance the DSS guides the farmers to improve the crop growth. The simulated results can be extended for real time usage in mobile application.