Research On Crop Diseases And Pest Monitoring Based On Wireless Sensor Networks

It has important significance to improve monitoring the diseases and pest level and to maintain food security and ecological environment protection in China. As a large, fast, no damage, no pollution monitoring technology, real time monitoring based on wireless sensor networks can realize the unity of the economy, society and environment. In this paper, we take rice diseases and pest monitoring as a case, the method of the application of WSN technology in pest monitoring was studied.1. WSN application in diseases and pest monitoring. There is a distinct difference on the chlorophyll content between the disease and health leaves after analyzing. Therefore WSN technology is used to monitoring the disease leaves. Combined with the measured chlorophyll content, the model of crop diseases and pest monitoring based on wireless sensor networks is constructed. The model can be used evaluating the extent of the diseases of rice.2. Habitat factor monitoring. Through the correlation analysis between the average temperature, average maximum temperature, average minimum temperature and the rate of the rice, the results indicate that: the main habitat factor influence the diseases of rice occurrence is the month average maximum temperature in January, February, June and July, while the influence of the precipitation is less. Also causes a brief analysis. A forecasting model of the diseases of rice occurrence is established according to the historical material, which can as the assistance method to monitoring the diseases of rice.3. Hardware and software of WSN. According to the hardware architecture of WSN node, the processor module, wireless communication module, sensor modules and energy supply module of node have been designed. At the same time, according to the requirement of low cost, a new WSN node has been designed to optimize the performance of node. The agriculture remote monitoring system, using the nodes designed above, has run long-term in agricultural base of Hunan suburbs. The sensor nodes in this system have acquired the temperature, light, air humidity and other information.Through the analysis and evaluation of test data, time delay, network flux and other information in this system, this system has been proved feasibility and effectiveness. At last, it also summarizes the paper's main task and anticipates the more research aspects.