Citrus Information Management System Based On WEBGIS

It has a long history for the cultivation of citrus and the relevant industry has developed rapidly.Correspondingly,the technology has become increasingly mature.With the deep insight of people's research on citrus,the acquired data is in urgent need of systematic management.So,the current new problem is how to integrate the acquired information,display and analyze information systematically,and provide users with scientific decision-making.At present,the management system of citrus information based on network technology has solved technical problems to a certain extent.However,due to the lack of research on the spatial distribution characteristics of citrus,users cannot get the information of soil in planting area and the distribution of leaves organic matter based on the only sampling point information.Moreover,the overall situation of the sampling can't be available which will cause the regional information exchange to be blocked.At the same time,the current information platforms are mainly focused on the presentation of single aspect which lack of research on soil organic matter in the producing areas.The overall view of the citrus sampling area is still not perfect,so we cannot analyze the obtained information in a deep level.In order to deal with the above issues,the study analyses the status of citrus industry comprehensively.We take the practical application of WebGIS in the citrus industry and the current status of the existing citrus information management into consideration.Focusing on the lack of research on feature analysis in the current citrus management system,we design the Kriging on the Web and make it come true.The method can be applied to the spatial interpolation for existing sampling points which will provide the prediction of nutrient status in unknown regions according to the limited discrete sample points.Afterwards the study puts the contour line rendering into use to reduce the loading time further.On the other hand,the graphical display for citrus distribution makes it possible for users to work efficiency in an intuitive and simple way.Combining with the theoretical knowledge and practical experience,the study realizes the fertilization advice and nutrient analysis to provide users with scientific and reasonable fertilizer recommendations in order to make users be familiar with the status of citrus nutrient deficiency.Ultimately,a comprehensive citrus management system which focused on spatial analysis,information inquiry and decision-making is established successfully.(1)The system implements the function of spatial analysis.Combining with the WebGIS,our study designs the Kriging algorithm on the Web side and makes it come true.Through selecting the sampling points in a small scale,we could get access to the content of soil organic matter and leaves organic matter by the known citrus sampling points in the region by means of the Kriging.(2)Load time was saved by optimizing Kriging display technology.The commonly used grid rendering method was replaced by the contour line rendering method,which can divide the contours according to the value of the organic matter content to assign the corresponding color.It will take a short time to display the result of Kriging interpolation by this method,and it's also applied to a larger range which improves work efficiency greatly.(3)The study realizes the graphical display of citrus data.The information of sampling points is fully exploited in order to breaking the limitations of presentation for the single attribution in the current system.We make a combination of graphics and attribute tables to display citrus sampling information to show the content of sampling points' organic matter intuitively and comprehensively and ensure the security of data.(4)The integration of soil and leaf information display is brought about.The sampling points of citrus are deep researched in this subject.The soil data and the data of citrus leaves are also integrated for building a integrating display which provides a possibility for users with a in-depth understanding of the content of citrus leaves and soil organic matter in the sampling area.