Digital Technology Empowers Grain Supply Chain Optimization Simulation

The issue of the balance food supply and demand has always been main national even world security. There are many factors that affect demand, interrelated. Therefore, it is necessary to study this complex in a systematic way order provide reliable theoretical basis for country formulate effective policy measures. Based on analysis current situation grain paper uses system dynamics (SD) carry out digital elevation model (DEM) latitude correction land surface temperature (LST). LST, combined with normalized difference vegetation index (NDVI), initially constructed dryness (TVDI) model; five subsystems including arable land, production capacity, import, population, consumption. This proposes chain network construction from dimensions network’s information flow, logistics, business flow. Through detailed empirical each subsystem, we judge development trend total system, perform operational tests historical simulation results rationality structure prediction, give results. Finally, based forecast results, targeted countermeasures suggestions proposed.