On-line Agricultural Land Data Acquisition System Study In Shanghai

With the deepening of the agricultural information development, relationship between GIS and Agriculture becomes increasingly close. This memo has the merits of intelligently optimizing the data acquisition method and solving problems existed in Agricultural land data acquisition process using the methodology of Web-GIS.Trivial is the current farmland data acquisition process and long is traditional data acquisition cycle, because of this, this manuscript attempted to develop an better system which is easier in data acquiring, more convenient in operation and shorter in data acquisition cycle with the support of WebGIS and RS interpretation technology. Agricultural indoor interpretation and internal audit industry as well as field correction are integrated at an organic whole, which successively forms a complete and scientific set of business processing system.The main researches of this thesis are conducted in four phases.(1) The author analyses current agricultural data acquisition methods, sums up weaknesses in those methods and finally brings forward the substitute solutions.(2) Preparation of data acquisition system development:data preparation, Annotation standard establishment and business process specification.(3) Analysis of system functional requirements and Design of system architecture:the function module division of the system is determined by customer’s requirements research. In addition, appropriate system structure selection is rather significant to keep the system run steady.(4) Key technology and solution analysis: the study puts forward corresponding solutions to underlying problems detected in developing process.The use of agricultural information resource, for instance, aerial images applied in the system, can be maximized via using it. Efficiency of agricultural data acquisition can be improved, labor as well as financial resources can be largely saved under the premise of the data acquisition accuracy. This system can also increase the degree of agriculture data sharing and security as well as promote the development of agricultural informatization and intellectualization. In addition, the research can offer suggestions for other data management industry.