The Crop Simulation Models are used to estimate the crop production of a region by using various parameters like temperature, soil, weather and crop management etc. There are various models for the purpose of estimating crop production of various countries. As DSSAT model, that is developed and used by USA, has a modular design and it is a daily time step model that facilitates the evaluation and application of the crop models for different purposes. But our model is specifically designed for Malwa Region Punjab. It considers various parameters of soil and crop as input and then analyzes the result of estimation of crop yield by checking available weather and soil conditions of that particular area and use a suitable algorithm to estimate the future production of the crop.

Abstract:Crop Simulation Models helps in precision decisions in agriculture that are used to integrate various datasets through information technology in building crop production decisions. Crop Diversification is also necessary to properly utilize land resources and for increasing crop production. This model works on the idea to estimate crop production on a particular area and gives us simulated crop production on that area in specific soil and weather conditions. We have compared the results of simulation production and actual production to check the validity of the simulation model. It gives satisfactory results. This model also gives suggestions for crop diversification as it is necessary to increase income of farmers and for increasing fertility of the land. It also tells us to select appropriate crops according to the conditions of the soil. This model is specifically designed for Malwa Region, Punjab and works according to the climatic conditions of this particular area.