GIS-Based Crop Production Management System

By collecting and analyzing information of agriculture farming, the agricultural information management system can provide decision support on production management, and which is the basic job of agricultural informationlization and modernization. Based on the summarization and extraction of regional agriculture cropping evaluation theory and technology achievements, a set of dynamic knowledge models which can be used for cropping system design, cropping ecological distribution, evaluation of soil fertility, precision management, and estimation of cropping productivity were developed with system analysis theory and modeling method. By using the technology of software component, with GIS as spatial information management platform, a GIS and mode-based system for crop production management was developed. The system realized the functions of cropping information query and analysis, cropping system design, crop productivity evaluation and precision farming, and lays a foundation for facilitating the quantification and digitization of crop production management.Based on the component characteristics as independency of development environment and convenience of integration, the system was developed with ASP programming language. Considering the temporal, spatial and dynamic characters of agriculture information, and applying GIS to crop production management, a double database structure with attribute and spatial database structure was constructed. Furthermore, by applying agriculture management knowledge model to agriculture information management system, a GIS-based crop production management system was developed. The system realized the functions as basic map handling, agriculture spatial information query and analysis, cropping system design, ecological distribution of farm products, cropping productivity evaluation, precision farming management, system maintenance and help.Based on comprehensive consideration of soil properties such as organic matter content, total nitrogen content, available nitrogen content, total phosphorus content, available phosphorus content, available potassium content, pH and CEC, AHP was applied to calculate the weights of the soil fertilization evaluation factors, and then the subjection function was developed to calculate the subjection degrees of evaluation factors, and finally the integrated index value of each evaluation unit was calculated. Soil fertility grades were determined according to the integrated index value. This model for soil fertilization evaluation lays a foundation for precision management.Case studies on the system with the datasets in Zhejiang province indicated that the design idea and structure framework of system accorded with the development demand of modern agricultural information management system, and realized standard and digital management of agriculture spatial information. Users can simply operate the system without requirement of the GIS platform. The system exhibited higher information management efficiency and query speed, as well as good applicability and guidance on ecological layout and decision support for agricultural farming.