摘要
为了实时、快捷、无损获取农作物生长信息,根据作物生长指标的光谱监测机理,研制了一种四波长作物生长信息获取多光谱传感器。采用光学滤波技术提高了光辐射信息输入信噪比,依据作物冠层特征及田间作业环境实际要求,设计了适宜的探测镜头结构参数,确保了多光谱传感器灵敏度与分辨效果,应用T型电阻积分网络搭建了微弱光谱信息放大电路。通过标定,获得了多光谱传感器与FieldSpec Pro FR2500型光谱仪的关系模型,决定系数分别为0.802 8、0.806 8、0.818 5、0.890 0。对小麦的试验结果表明,该传感器的平均测量误差分别为5.6%、4.6%、1.4%、4.5%。该传感器能够较好地实现作物冠层反射光谱的实时在线检测,为作物生长监测设备的研发提供了有力支持。
To access the growth information of crops fast, non-destructively in real：time, a four band multi-spectral sensor of crop was developed based on spectral monitoring mechanism of crop growth indicators. Optical filtering technique was used to improve the input signal to noise ratio of optical radiation. Based on crop canopy characteristics and operating environment in the field, the suitable structure parameters of detection lens was designed, ensuring that sensitivity and resolution effect of multi-spectral sensor. The weak spectral information amplifying circuit was built by T-type resistance network. Through calibration, the relational model of multi-spectral sensor and FieldSpec Pro FR2500 spectrometer was obtained, the coefficient of determination of which was 0.802 8, 0.806 8, 0.818 5 and 0. 890 0 respectively. The wheat test results showed that the average measurement error of the sensor were 5. 6% , 4. 6%, 1.4% and 4. 5% respectively. The sensor could realize real-time online tests of crop canopy reflectance spectra to provide strong support for the development of the crop growth monitoring equipment.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2013年第5期207-212,共6页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家高技术研究发展计划(863计划)资助项目(2011AA100703)
江苏省科技支撑计划资助项目(BE2010395
BE2011351
BE2012302)
江苏省省级现代服务业(软件产业)发展专项引导资金资助项目
江苏省工业和信息产业转型升级专项引导资金(物联网专项)资助项目
江苏省农业科技自主创新资金资助项目(SCX(12)3272)
江苏高校优势学科建设工程资助项目(PADA)
关键词
作物
生长信息
反射光谱
多光谱传感器
Crop
Growth information
Reflection spectral
Multi-spectral sensor
