The Farmland Production Monitoring And Forecast System Based On Wsn Research And Implementation Of Key Technologies

With the continuous development of embedded computer technology, electronic communication technology and automation technology, wireless sensor networks have become the international research hotspot in recent years. It has been widely used in military, agricultural, medical and family and other fields. Through the deployment of a large number of inexpensive sensor nodes, sensor networks could monitor the monitoring region, and transmission collected data to the monitoring terminal by the node multi-hop self-organizing way. Sensor node has advantages of small size, low power consumption, network self-organization, self-adaptability and robustness which are very suitable for farmland environmental information monitoring. This subject of farmland monitoring system is a sensor network-based design.AquaCrop model, designed and developed by multinational scientists organized by the FAO (Food and Agriculture Organization of the United Nations) is a crop growth simulation model, which can simulate crop growth, development and yield formation process, and then guide user with a reasonable way to get more yield gains. Today the foreign scholars have done lots of research and application of the model, and the results in production simulation are obvious. Therefore, this article design yield estimation model based on the yield calculation methods of the AquaCrop model. Then verify the correctness of the software simulation crop yield with the data collected by the monitoring system.The focus of this article has two aspects, namely farmland monitoring system and yield simulation software design. The main works which have completed for these two elements are as follows:(1) Describe the overall design and structure of the farmland monitoring system software and hardware, and focusing on data collection and energy management section of the software design. The data acquisition is the main function of monitoring systems, and the energy management is the key factor to ensure that the system run stable for a long time. The main works for data acquisition and transmission are as follows. Design the ADC driver and interface functions to complete the high-precision analog-digital conversion. To meet the inversion needs complete the design of the data cycle acquisition program. Then design the data upload format and storage program of the terminal nodes and the Sink node, and the data delivery mechanism. Finally show the results of the acquisition of the different acquisition modes.This article mainly does the following work for the energy management. Fist analyze the power consumption of the node elements, and discuss the various operating modes of the major energy-consuming modules MC13224and SIM300C in detail. Then determine the node low-power strategy, design low-power software program, and detailed describe the functions related to energy-saving. Finally prove that the low-power design can significantly reduce node power consumption through experiments.(2) Introduce the calculation principle of AquaCrop model, simplify yield calculation of the model, and design the production yield model. Input the required parameters to calculate, such as environmental information collected by the sensor, the information of the local soil and planting corn characteristics, then simulate corn yield using estimation model, analyze the deviation between the simulation output and actual output. Finally prove that the yield model can well simulate crop yields in this monitoring region.