| On the basic research of the spatial variability of soil and comprehensive evaluation of fertility quality and modeling for the optimization of fertilization of tea, Tea fertilization information system (TFIS 1.0) was developed based on the soil testing, and principle of nutrient balance, by inserting MapObjects component into the Visual Basic development environment and combining the techniques of unified modeling language(UML), relation database and ComGIS. TFIS directly serve to farmers and managers of tea field, the system realized the functions as basic map handling, agricultural spatial information query and analysis, ecological distribution of tea field, fertilization decision-making, precision farming management, visual display of results and system maintenance. Case studies on Mengding Mountain in Sichuan Province indicate the system can effectively manage regional agriculture spatial information and show a good applicability in future.1. The soil fertility quality of Mengding Mountain is changing dramatically with the change of altitude. The hill can also be divided into different sections delimited by their fertility level: the richest soils are located in the middle and top section of the hill; the poorest, at the bottom. In other words: the higher the elevation, the richer the soil; the lower the elevation the poorer the soil.The overall fertility level in Mengding Mountain is lower than the soil quality standards put forward by the Chinese tea institute. There is a difference between today's Mengding fertility quality situation and the soil quality standards of good tea fields. BD, OM, AP, TN, AN and pH take 15%,26%,30%,90% 90% and 100% of the whole area, which are not accounted for the high quality standard and the average content of AK is only 68mg/kg in the highest fertility quality area. Those elements above restrict the output and quality of tea in Mengding Mountain. So the tea garden management should attach importance on improving the soil fertility.2. A comprehensive evaluation of the soil fertility with Geostatistics, GIS, and statistics methods provides accurate and objective information on the soil fertility quality. Furthermore, calcic purplish soils in this area are not fit for tea. All of this are inosculate to the research's results, which is practicable. Additionally, this method avoid the disadvantage of the traditional method's and also gives a new practical approach to Geostatistics.3. Nowadays, object oriented methodology is most popular for developing information systems, and the Unified Modeling Language becomes a standard language for the analysis and designing phase in developing an object oriented system. On the base of software engineering thinking, object oriented method put in the GIS application system programming through design, function, structure and accomplishment and so on. This research use UML case-Rational Rose2003 to design the software system, and acquire a good effect.4. On the basic materials of tea experiments for fertilizer responses, the spatial variability of soil fertility quality was studied, tea fertility geography information system (TFIS 1.0) was developed based on the soil testing and fertility evaluation and principle of nutrient balance through technique of ComGIS, relational database, fertility model and UML model. TFIS approached the accurate quantitative for N, P and K requirement in normal condition. Additionally, A brief and simple interface are easy to use which are the features of the system, besides, some technical references are provided for other agrieulture information system.
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