Research And Implementation Of Ginger Planting Area Prediction Based On Big Data Platform

Ginger is one of the important economic crops in China.The healthy and stable development of ginger industry can not only promote agricultural production and farmers' income,but is also of great significance to stabilize the effective supply of ginger in China and even in the world.Ginger planting area is one of the important factors that affect the development of industry.However,in the process of ginger industry development,the planting area is unclear and fluctuates obviously,which largely affects the balance of industrial supply and demand structure,causes frequent price fluctuations,and restricts the healthy and stable development of ginger industry.In view of the current situation,this paper starts from the supply side of ginger industry,analyzes the factors that affect the ginger planting area scientifically from multiple perspectives,and predicts the changes of ginger planting area under the influence of multiple factors.And on the basis of the established ginger big data monitoring and analysis platform,comprehensive use of big data related technology to carry out the research and development of related service functions of ginger planting area,provide factor analysis and prediction of planting area,and provide reference for farmers to reasonably plan the planting scale and government decision-making.The specific research contents are as follows:(1)Study on the prediction model of ginger planting area under the influence of many factors.According to the current situation of ginger planting area and imbalance of supply and demand in ginger industry,this paper analyzes the data changes of ginger planting area in China for 30 years,studies from the perspective of natural conditions,farmers themselves,economic and technical level,selects ten factors that affect ginger planting area,makes use of grey correlation theory to analyze the correlation degree,and the prediction model of ginger planting area under the influence of multiple factors based on the grey system theory is constructed.The results of empirical test and comparison with other conventional prediction methods show that the model has a good prediction effect on Ginger planting area.Using this model to predict the future ginger planting area,and according to the results,it can provide suggestions for the government,enterprises,farmers and other reasonable ginger planting,which is conducive to optimize the industrial structure from the perspective of supply side.(2)Research and development of ginger planting area service function based on Ginger big data platform.In order to provide better services for the platform users and improve the overall benefit of ginger industry,based on the analysis of the influencing factors of ginger planting area and the construction of the prediction model,according to the relevant needs of users for ginger planting area,combined with the experience of the previous big data platform construction,the technology of big data collection,distributed storage,big data mining analysis and visualization is used Now the functions of ginger planting area related services are provided,which provide users with a variety of services such as analysis and prediction of factors affecting the planting area.It is beneficial to provide reference guidance for the macro management control and decision-making of ginger industry planting area,and can effectively help to improve the overall benefit of ginger industry.