Research On Monitoring System Of Wheat Diseases And Insect Pests Based On Multi-sensor Fusion

Embedded and multi-sensor information fusion are important technologies for information acquisition, analysis and processing. Embedded technology is the core of acquisition of farmland environment information, it improves the acquisition way that has been from the manual records to the integration acquisition stage. In recent years, information fusion system in the field of agriculture has also been developed rapidly. However, their applications in the field of crop pest and diseases monitoring are rarely.Because the farmland information are the key factor affecting the development of wheat diseases and pests, so completed two aspects of research.Applying ADF test, EMD and neural network construct a new prediction model. Using the ADF test the stability of the meteorological data. Second, the not stationary sequences were decomposed by the EMD and the processed data were trained by network model. Finally, use the neural network model and farmland environment data. to predict the level of aphid occurrence degree in 2012. The results showed it is better than the direct prediction model.Designed the remote acquisition system, determined the whole scheme of the system, completed the hardware design and assembly, completed the software design on the Lab VIEW environment. Set up a network system based on 3G technology adopting wireless router and Arduino network expansion board. Use Yeelink platform realize remote transmission of data. At the same time to realize the web publishing and serial acquisition of information, provides network platform for experts to do analysis or decision-making and solves the problem use single server to be data analysis. As well as, solves the problems including the wild environment complex and changeable and the difficult power supply.