The Research And Application Of Big Data In Agriculture

Agricultural big data is an advanced technology to turn the vast amounts of unstructured data into structured data which could be scientifically computed and understood,as suggested by the agriculture industry characteristics and for the purpose of supporting agricultural decision making.In this paper,we reference the research results of scholars at home and abroad,and put forward the framework of big data applications in agricultural and also do some application research in the field of pig and vegetable industry.Pig and vegetable industry are vital to China's agricultural economy,and their stability affects the development of China's agriculture,farmers' income and food security strategy.So it is very important that know well the pig,vegetable sector and regulation of the two price changes by analysing the regular pattern of Chinese pork and vegetable production,the development trend and the inter regional flow pattern.The main contents of this paper are as follows:(1)We put forward the framework of big data applications in agricultural and also introduce the main components and its working process.On this basis,we discuss how to use the powerful features of the GIS to assist agriculture big data mining analysis and to make agricultural production more scientific.It has some theoretical significance for the following research of this paper.(2)In this part,data visualization techniques were used to analyze trends in China's major pork producing regions and issues of pig circulation.The basis of its status quo,historical development,developmental patterns,and existing problems for the purpose of providing a basis for policy making of relevant agricultural departments were also deliberated.It is the first time to use visualization technique to study spatial-temporal variations of pork production in different provinces of China in recent 30 years and get some good results,which overcome the shortcomings of traditional statistical method that could not directly show the spatial difference.Twenty-two Chinese provinces covering the years 1984 to 2013 were selected for this study.We obtain data set of pig and pork about 30 years in China by overcoming many difficulties,which can help us understand the change of Chinese people's living standards in recent years.By the analysis,changes in pork production for various regions in China were divided into three periods.And according to an analysis of the spatial flow of pigs across China,the provinces selected for this study could be divided into four categories.Then on the base of these,we discussed the changes reasons of pork production in different regions in different periods in China and obtain some conclusions.Finally,some suggestions are proposed to how to plan China's pig breeding base,which is very important to improve the people's living standards and make regulation of the pork market.(3)This part researched into the pig's flow in China by using data visualization and combined analysis of the current status of pig's flow and the Chinese urban agglomeration.At the end of the study,the results showed the spatial distribution pattern of pigs in China based on the status quo of the development of urban agglomeration,and provided the basis for policy formulation for the relevant agricultural sector.Research results show that pigs of the west supply in the east,pigs of the north supply in the south,the eastern coastal areas are the most important part of the pig's flow system in China,the production and consumption of the pigs in the eastern coastal areas is the key factor for the change of the pig's flow pattern in China.(4)In this paper,we used the method of gray gravity center to analyze the development trend and spatial pattern of vegetable sector,and it can be divided into three parts.In the first,according to the statistical data,survey data and network data,we made a general analysis on the development of vegetable industry from 1994 to 2015;In the second,the correlation analysis of vegetable industry and its main influencing factors was carried out;In the end,based on the first two steps of the analysis,we made a comprehensive summary of the current situation and causes.At the end of this paper,according to the specific application of the previous analysis,we analyzed the prospect and the key technical problems of the combination of agricultural big data and GIS spatial analysis.