| By using digitalized technologies, under the guidance of modern agricultural theory, including agricultural and agricultural ecology theory, agricultural project technology theory, agricultural economy theory, as well as agricultural management theory, the digital agricultural technology can be applied to express, design, control, manage the whole related agricultural production process following the will of producers and in a digitalized way. By integrating computer technology, spatial information technology, networking technology e-project technology and agricultural machine technology, the agricultural production management and dealing, farm produce circulation and service, in addition to agricultural resource and environment area are designed, visualized and controlled intelligently in a digitalized way. So, in essence, the digital agriculture regards the info-technology as a vital element in agricultural productivity, and it also puts the controlled theory, the computer assisted design theory into agricultural field, which, results in the development of agriculture following the will of people.This dissertation is finished due to the experiences accumulated when I took part in the development program named by the spatial information management platform of the model base of digital agriculture, which is the "01"subclass topic of the program: "key technologies in digital agriculture". And this program is a key scientific research topic supported by scientific and technological committee of shanghai in 2003, enjoying high priority. In addition, the project number is 03DZ 19301, finished is Sep, 2006.Through a large amount of investigating and researching work to the related materials home and abroad, the author dates back to the original concept of digital agriculture, researches the relations and differences between the concepts of "digital agriculture" and "precise agriculture", eventually, confirms the concepts and correlative meaning of digital agriculture in this dissertation, as lays solid and reasonable foundation to the research on the theory and technological system of digital agriculture.Based on spatial information technology and artificial intelligence, applying classic statistic method, geo-statistics, multi-statistics-analysis and agricultural model, the author analyzes the spatial variations and characters of soil by GIS spatial analysisand modeling analysis; besides, the author also build a variable recommendation fertilization analysis according to crop-growing-nutrition-absorbing model. Meanwhile, by following operational research, multi-regressing analysis, and agricultural model, the author established a storage-analysis model and a tomato -diseases-and-insect pest's knowledge system.Also, the author built a digital agricultural database supported by Geodatabase, which split the correlative data in 50 layers. Based on this and nerve-centre-control model framework, also on COM GIS, Web GIS, the author established the digital agricultural spatial information management platform and digital agricultural decisive support system depending on the actual need of agricultural garden area.This dissertation is divided into eight chapters: the first one comprehensively introduces the background and research meaning of this topic, as well as the current research situation home and abroad and the contents and problems to be addressed in this dissertation. The second chapter discusses the concepts, theoretical system, and technological system and research methods of digital agriculture. The third chapter explains the theoretical support, key technologies and research methods of this dissertation. The forth one emphasizes the establishment of database by presenting the way of acquiring data in digital agriculture and other aspects. The fifth one analyzes and modeled the soil nutrition in spatial way by taking the advantaging of GIS, variable fertilization analysis, decision support system and expert knowledge system; the sixth and seventh chapters introduces the spatial information management platform and decisive support system of digital agriculture by referencing the above mentioned research. Finally, the eighth chapter puts the conclusion, creative points, deficiencies and forwarding of this dissertation in high light.The conclusions are as follows:(1) Agricultural spatial database establishment based on the model of Geo-databaseBased on Geo-database model, the needs of digital agricultural garden area, as well as the correlative relations among data picture-spot, elements, properties and relative data, the author split the spatial data into 50 layers by the way of UML class layer, which offered references in the establishing of spatial database of digital agriculture.(2) Establishing variable fertilization model by Integrating GISDynamic precise fertilization model is built by extending traditional fertilizationmodel, and integrating GIS and GPS. According to the data of instant nitrogen, instant phosphorus and instant potass in research area and Kringing interpolation, also by comparing various half variance function models, the author finds the best-fitted interpolation model. By applying this model, the soil nutrition distributing map is shaped. The amount of fertilizer is confirmed by the amount of nutrition absorbed during the periods of plant growing, the amount of nutrition offered by soil itself, and the needed nutrition under certain yield. Assisted by GIS and GPS, the goal of precise fertilization is reached.(3) Establishing and applying Central Nervus Control Model framework based on GISBy taking GIS as the central nervus in the whole Central Nervus Control Model framework, variable recommendation fertilization model, the storage model, expert system, data-sharing and spatial data management function modules is controlled and managed to serve the digital agriculture production process. According to the role played in this system, the Central Nervus Control Model is built and applied to practice.(4) Establishing and developing of expert system and decisive support model The models of a storage-analysis model, a grain production model and a tomato-diseases-and-insect pest's expert system have already been programmed, which can be published and visited on the internet.(5) Authority-control method based on web serviceBy taking the advantaging of APIs offered by web service, this platform realizes the web authority management and checking function. And the interfaces can be used by VB, VC, JAVA and other programming languages, including both web and desktop program. Also, the terminals can be used are various, including both PC and Mobile devices.
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