| To make the collection of information for aphid in cotton fast and push notification to users initiatively,the 125 th Regiment of the 7th Agricultural Division of the Xinjing Construction Corps was choose as the research area,and the information collection and service for the aphid in cotton was regarded as studying object, and the meteorological data(temperature, humidity, evaporation, sunshine) and occurrence data of aphids in cotton from 2004 to 2013 were acquired from research area, and the method of statistics, relativity principle, and multiple regression method were adopted to study the relevance between these meteorological data and the occurrence data of aphids in cotton. The Oracle technology was used to establish a spatial and attribute database for research area, at the same time, the information collection and service system was developed based on the iOS platform and mobile GIS technology. The results are as follows:(1) Statistics results suggest that the occurrence of aphids in cotton has three phases: occurrence period, peak period, and recession period. The correlation analysis indicates that there is a significant association between the occurrence rating of aphids in cotton and humidity, temperature, but the occurrence rating of aphids in cotton is not in a strong linear correlation with temperature and humidity. In the first stage, the occurrence degree of aphids in cotton is in a linear with the relative natural logarithm of temperature-humidity coefficient, while in the second and the third stage; the occurrence degree of aphids in cotton is in a linear with the direct natural logarithm of temperature-humidity coefficient.(2) Mobile GIS technology was used to develop the information collection and service system. Agricultural workers can conduct the points and polygon collection through the system’s GPS function and Offline Map. With GPS position function the system can directly show the current position. After drawing the polygon or points the user can press the button of submit to upload the data to the Server. The data are basal to spatial analysis.(3) Data provide by users was extracted from Oracle Spatial database and the inverse distance interpolation analysis, fractional analysis and hotspot analysis were conducted. The inverse distance interpolation analysis can calculate the rating of all fields in research area. On the basis, the fractional analysis and hotspot analysis are carried out respectively. The fractional analysis can provide a very good research of the spatial aggregation. Furthermore, the hot region can be found by the hotspot analysis. These analyses supply the based function of monitoring and control for aphid in cotton.(4) Function of comparison between the every field’s rating of aphid in cotton and economic threshold was executed, and the trend whether the rating is ascending or descending was marked, at the last, the system push the notification to the users. At the same time, the users whose strip triggers the economic threshold will be pushed and informed timely to control the aphid in cotton.The preliminary application in research area suggests that the prediction model for occurrence rating of aphids in cotton can meet the demand. Users can apply this system to acquire the occurrence rating of aphid in cotton, get the actual situation of aphid in cotton, and control the development trend of aphid in cotton. The system has a characters of simplicity, high efficiency and real-time and can provide a reference for information collection and monitor of aphid in cotton. |
