Abstract

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

Highlights

  • As of 2018, the national food production has shown a continuous growth trend for 11 years

  • Fourier Wavelet Vector Polynomial analysis analysis machines fitting security efficiency index. e northern and central parts are dominated by mountainous areas. e basins are concentrated in the south. e hills are low in temperature and the basin is high in temperature, which can lead to the wrong analysis of “low drought and high humidity.” erefore, the digital elevation model (DEM) and latitude must be corrected to obtain accurate surface temperature

  • MODIS data products have the characteristics of high time and medium and high spatial resolution

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Summary

Digital Technology Empowers Grain Supply Chain Optimization Simulation

Received 9 April 2021; Revised 21 May 2021; Accepted 15 June 2021; Published 23 June 2021. E issue of the balance of food supply and demand has always been the main issue of national and even world food security. Ere are many factors that affect food supply and demand, and the factors are interrelated. Based on the analysis of the current situation of grain supply and demand, this paper uses system dynamics (SD) to carry out digital elevation model (DEM) and latitude correction for land surface temperature (LST). E LST, combined with the normalized difference vegetation index (NDVI), has initially constructed a temperature vegetation dryness index (TVDI) model; it has constructed five subsystems including arable land, production capacity, import, population, and consumption. Is paper proposes a food supply chain network construction model from the dimensions of the food supply chain network’s information flow, logistics, and business flow. Based on the forecast results, targeted countermeasures and suggestions are proposed

Introduction
Sowing range
Vegetation index
Numerical variable groups
Soil Illumination Moisture
Number of food samples
Relative error
Full Text
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