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基于GPS土壤水肥检测系统的探讨
引用本文:刘春宝,王枫,黄开杰.基于GPS土壤水肥检测系统的探讨[J].黑龙江农业科学,2007(1):30-33.
作者姓名:刘春宝  王枫  黄开杰
作者单位:1. 吉林大学,长春,130022
2. 黑龙江省依安县上游乡农业技术综合服务中心,依安,161500
摘    要:精确农业是利用重要的作物参数和农业知识专家库来优化生产系统管理,基于GPS土壤检测系统是精确农业的一个重要组成部分,通过它来检测确定地段的土壤水肥信息,根据检测结果来控制不同的投入水平.检测系统的信号检测是由检测传感器、参考传感器、阻容脉冲转换电路、单片机、RS485通讯模块、GSM模块、数字温度传感器、工业控制计算机等单元组成.检测电容与参考电容分别产生脉冲信号,脉冲数与电容的容值负相关,在一定时间内两脉冲序列的脉冲之差与待测土壤的水肥也负相关.单片机通过计数器检测在一定时间内的脉冲数差,将此数连同数字温度传感器产生的温度测量值通过GSM模块发给上位机.上位机对数值进行归一化处理后,采用BP神经网络进行非线性校正和温度补偿,产生土壤水肥测量值.

关 键 词:GPS  精确农业  水肥检测  BP人工神经网络  传感器  土壤水肥  检测系统  Soil  System  Detecting  Fertilizer  温度补偿  非线性校正  神经网络  归一化处理  数值  上位机  量值  计数器  脉冲序列  时间  负相关  脉冲数  脉冲信号  参考电容
文章编号:1002-2767(2007)01-0030-04
收稿时间:2006-12-04
修稿时间:2006年12月4日

Discussion on Moister and Fertilizer Detecting System of Soil with GPS
LIU Chun-bao,WANG Feng,HUANG Kai-jie.Discussion on Moister and Fertilizer Detecting System of Soil with GPS[J].Heilongjiang Agricultural Science,2007(1):30-33.
Authors:LIU Chun-bao  WANG Feng  HUANG Kai-jie
Abstract:The important crop parameters and agricultural knowledge professional warehouse were made use of to optimize the production system management. The moister and fertilizer detecting system of soil with GPS is an important part of precision agriculture. We can collect soil information through it and fertilize according to the different soil The circuit consists of measure sensor top, reference capacitor, resistance and capacitor impulse transfer circuit, SCM, RS485 communication module, GSM model, digital temperature sensor, industry controlling Computer, etc. Both measuring capacitance and reference capacitance brought impulse signal. The number of impulse signal was correlated nega- tively to capacitance. The difference of the number of impulse of the two impulse sequences was correlated negatively to moister and fertilizer of soil that will be measured either. The SCM detected the differences of impulses in a certain time through counter. The number and the value that the digital temperature sensor brought were sent to upper computer through GSM model. After upper computer dealing with the data BP nerve network was used to process nonlinear emendation and temperature compensate and then the measuring values of moister and fertilizer of soil came into being.
Keywords:GPS precision agriculture detecting moister and fertilizer  BP artificial neural network  sensor
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