开发了一款基于近红外漫反射测量的便携式土壤有机质测定仪。 测定仪主要由光学单元和电路单元组成。 光学单元包括光源、 入射和反射光信号传导光纤、 光电转换器件等。 电路单元包括光源驱动电路, 放大电路、 A/D转换电路、 液晶显示和U盘存储电路等。 工作时探头部分插入土壤形成密闭空间, 光源发出的光通过入射光纤传送到探头的顶端, 并照射顶端周围的土壤; 来自土壤的漫反射光沿反射光纤被传送到光电转换器件, 产生的电流再被送至电路单元进行放大、 滤波、 A/D转换、 显示和存储。 分别针对自然土样和烘干土样的性能试验结果表明, 反射率和SOM含量之间具有很高的相关性, 在土壤有机质实际含量大于2%时, 平均相对误差率低于5%。 开发的仪器能够满足农业生产需要。

A portable soil organic matter detector based on near infrared diffuse reflectance was developed. The detector uses a microprocessor 89S52 as the micro controller unit (MCU) and consists of an optical system and a control system. The optical system includes an 850 nm near-infrared LED lamp-house, a lamp-house driving-circuit, a Y type optical fiber, a probe, and a photoelectric sensor. The control system includes an amplifying circuit, an A/D circuit, a display circuit with LCD, and a storage circuit with USB interface. Firstly the single waveband optical signal from the near-infrared LED is transferred to the surface of the target soil via the incidence fibers. Then the reflected optical signal is collected and transferred to the photoelectric sensor, where the optical signal is converted to the electrical signal. Subsequently, the obtained electrical signal is processed by 89S52 MCU. Finally, the calculated soil organic matter content is displayed on the LCD and stored in the USB disk. The calibration experiments using the estimation model of the soil organic matter were conducted. Thirteen kinds of natural soil samples were prepared, each divided into five sub-samples. After measurement, the natural samples were dried under the condition of 105 ℃ for 24 h, and then the same measurements were performed. The analysis of the correlation between the detected SOM content and the measured reflectance was carried out. For the natural soil samples, R2=0.907, while R2 reached 0.963 for the dried soil samples. The average reflectance of the five sub-samples from the same kind soil was calculated for each kind of soil. And then the same correlation analysis was conducted, for the natural samples R2=0.950, and for the dried samples R2=0.982. The results showed that the developed detector is practical. And the soil moisture has an effect on the accuracy of the detector. It is necessary to correct the real time measurement result of the detector based on soil moisture.