The Research And Development Of Pest Forecasting System Based On Embedded Technology

Crop pests often cause serious harm to crops and make agriculture suffer economic losses.Predicting the dynamics of insect pests can make the pest control work in a purpose and planned way,and then reduce the agricultural losses.The traditional method of crop pest forecasting was that crop protectors got pest information by manual counting.In this way,there are many problems,such as heavy workload,low efficiency and poor accuracy,which could not meet the needs of real-time and accuracy of pest forecasting.With the rapid development of information technology,sensors and wireless communication modules are increasingly installed on data acquisition devices which made data acquisition and wireless transmission automate.Based on the characteristics of data collection and transmission,and combined with the existing technical level,this paper designed a set of intelligent pest forecasting system suitable for field work,high performance and convenient pest forecasting system.The system used biological sex pheromone to lure the pests into the traps with special structure,and then use the double-layer infrared sensor,temperature sensor and humidity sensor to realize the collection and processing of the pest statistics,temperature and humidity information.At last,store data to the specified server by the wireless network transmission technology.The double-layer infrared sensor designed in this paper can effectively improve the accuracy of the pest statistics.This system uses server to store and process the acquired data,for the forecasting staff to provide Web-side and App-side in two ways to obtain real-time forecasting information.The system is divided into two major areas including field collection equipment and application services.Field collection equipment consists of pest statistics,temperature and humidity signal acquisition nodes and data sink-node in two parts.The PIC18F452 chip is used as the controller to complete the acquisition of the insect signal,temperature and humidity signal.We use Chengdu Ebyte electronic technology company's E31-TTL-50 433 M wireless communication module to send data to data sink-node.The sink-node used S3C6410 embedded microprocessor of SAMSUNG ARM11 series as the core device,and was responsible for data processing and sending data to the server through GPRS network.Application consists of web pages and android App.The forecasters can obtain the real-time forecasting data through the web page or App,and grasp the occurrence of pests in the field timely and effectively.The pest forecasting system can not only reduce the workload of forecasters,but also more accurate statistics,and simultaneously make the forecasting work more simple and convenient.