Construction and application of regional fertilization decision-making system based on GoogleMap and WebGIS for peach orchard

A regional practical peach orchard fertilization decision-making system that integrated fertilization decision-making model, Googlemap and WebGIS was established. Based on target yield and soil fertility level,,the fertilization decision-making model applied total amount control and stage regulation fertilization strategy and combined with the growth characteristics of peach trees. Adopted the distributed structure of B/S and supported by thematic spatial database and model database, the system includes 4 main functions: 1) data maintenance and updating, 2) GoogleMap and GIS information browse and query, 3) fertility evaluation, 4) fertilizer recommendation decision-making. Four years’ experiment was implemented to verify the fertilization decision-making model in peach orchard in Pinggu County, Beijing. Results showed that: compared with traditional fertilization practice, applying recommended fertilization decision-making model treatment could increase peach fruit mean yield by 27.5% and significantly improve fruit quality (like colors, total sugar, soluble solid content and the ratio soluble solid content and titratable acid) while the nutrient inputs of nitrogen, phosphorus and potassium decreased by 33.5%, 2.7% and 9.6%, respectively. A new model of fertilization system based on GoogleMap and WebGIS was explored and it is applicable for regional nutrient management.