| Digital agriculture is the agricultural production management technology system of modern science technology combined closely with the management requirements and agricultural production, including the digitalization of agricultural production factors, process and management. This paper carried out "the research and construction on the integration platform of digital information consultant and decision" for those agricultural problems such as data of information resources scattered isolated, independent research on the system of development environment, and single function and son on, in the development process of corps agricultural information technology.this study researched and developed a service platform integrated information consultation and decision for all kinds of agricultural users, using development technology of information system software, Suitable for characteristics of corps agricultural production, With information technology as a starting point, combined closely with the actual condition of production process and management and manufacturing process of corps production. Established the agricultural data sharing management platform for corps agricultural production demand, Through the study on agricultural information database management system. It has a certain theoretical and practical significance to promote information technology in corps Agriculture in xinjiang, and promote networked, integration and large-scale developing process of corps digital agricultural, through the study on integrated platform.Corps agricultural production system is the research object In this paper, and analysis object is level 3 management mode of corps of division, regiment, and business process of agricultural production and requirements of agricultural production users. Agricultural production data is the main line and research basic. The target of study is to meet user needs. Around the corps "digital agriculture information integration platform for decision and consultation", by the research methods of software engineering and system analysis, To carry out the following research:1. To access research information through various methods. Research covers three divisions Bureau of corps, more than 20 herds, and more than 200 companies. To make sure the significance, target and composition of demand of platform requirements analysis from the angle of the software system development based on class finishing and summary of information. To analysis and ecpressiong by specific methods such as graphics, text and use special formalized modeling language, the research methods of platform is rapid prototyping of object-oriented technology. Modeling idea is bottom-up, comprehensive and integration.2.Completed the design of digital agriculture information consultation and decision integration platform based on demand analysis of platform. The principle of platform design follows the principle of from top to bottom and individual after whole. Clear the platform’s overall computing mode is integration of C/S and B/S. Main structure is divided into base layer, data layer, service layer, business process layer, application layer and access layer from bottom to top. Framework of platform system:a background service management system, an agricultural information data sharing and management platform based on agricultural resource-information database management system and agricultural model database management system, and a service integrated platform provides information inquiry and decision by the form of a home page. The function design has been clear the main body function of platform is assistant decision-making and information query and analysis. Platform users, metadata,business tree,logs shall be borne by the background service management system for maintenance and management.Text data, spatial data and attribute data and multimedia data is managed by the agricultural resource information database management system.Generated,control and operation various types of agricultural model by agricultural model database management system. According to the principle of hierarchical, distributed independent development of platform, the specific design of subsystem is put in the system development and implementation study section. According to industry general specification, has been cleared the naming and the database object code of background using English and pinyin form. The database of platform could be divided into soil database, climate weather database, field crop varieties database, model parameter database and several kinds of database group and so on.3. Research on acquisition and processing of agricultural. Access the data of platform including remote sensing technology, geographic information system technology and GPS, survey method, and statistical reports. Have got geographical distribution, topography and other text information natural resources and administrative zoning map about 13 divisions bureau and 175 farming herd of corps; have got the data of field crops, soil physical and chemical analysis, telemetry data, weather forecast and meteorological disaster investigation report, the production plan, technical guidelines and manuals and other information about More than ten mission field of unit area of three divisions of the Bureau; Received remote sensing image of three division bureau administrative divisions.Divided the data type to agricultural natural resources information by faceted classification based on the principles of science data sharing classification of engineering technical standards. The information is divided into seven categories on the whole by hybrid and line classification, Design and establish encoding unit of categories about 14 division bureau of corps, the coding sequence of standard specification and small class coding and the agricultural resource information classification coding of more than 180 herd.4. Research and implementation on maintenance and management of digital agriculture information consultant and decision-making integration platform, according to the overall function design and system framework of platform, through the mapping relationship of system platform to agricultural production management mode, business process, business content, and user roles of the xinjiang corps, design the background service management system of each function module, the maintenance database, the element database of management and maintenance, the database of management to business tree, user database, log management database.Implemented the function module of personal management,user role management, rights management and modules of the platform system Settings.5. Construction research on data sharing platform of Digital agriculture information consultation and decision integration platform. Platform function integrated based on the agricultural data sharing and integration; According to the agricultural data characteristics and the role of the platform, the agricultural data sharing platform manage the foundation of data and model data in classification, is divided into agricultural resource database management system and model base management system; Through the interface technology, implemented data call from model database to other database, and connection between model database and the human-computer interaction part of the decision-making system of platform.According to agricultural resource properties and classification, combined with priority target function of platform, design management system of farmland land resources information database, agricultural meteorological information, plant diseases and insect pests information, crop information, document information; Implements the management functions of soil information, agricultural meteorological information, crop resources information, plant diseases and insect and pests resources information, document resources information.According to characteristics of agricultural model application, the priority development goal of decision-making functions of platform,the agricultural model are divided into agricultural production fertilization model, the irrigation model and pest model (disease, insect pest model) model, etc. Using object-oriented method to design the data storage structure, operation, management and maintenance functions of model database.Implements to manage, control and operate the model of fertilization and irrigation and pest and disease early warning and forecast and report model. Implement data call and data input/output interface between human-computer interaction interface and model database, model database and other database, using the ADO.NET technology.6. Research and implementation of digital agricultural information decision integration platform. In accordance with the overall planning of the platform, design home function zoning of integration platform, interface style, user login and functional integration services. Decision system of platform is the three-component of "human-computer interaction, model and data". Through system development and software integration technology, Realizes the web-based inquiry senice finally, provides agricultural resources information query about corps agricultural unit and multifunctional decision support analysis services for the authorized users. Integration of the decision-making function, implementation’integration solution of two modes fertilization decision-making systems of C/S and B/S based on the platform; Realized decision-making system of B/S mode integration on fertilizer recommendations, early warning and forecast of cotton bollworm and cotton drip irrigation based on the platform.The preliminary design plan of corps agricultural information classification and standards put forward by the study has reference value for establishment of the corps agricultural resources information coding system; There are rare publicly reports in the study on design and development of the agricultural model database management system, adopted software system development technology, combined with agricultural mode business functions; There are few literature reported about the study on design and construction of data sharing, system integration and functional integration; This study has carried on the theoretical discussion and practical research for implement the corps agricultural data sharing and functional integration services. |
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