When using UV-Vis spectroscopy to detect water quality parameters, the scattering of suspended matter in water will cause the overall spectral curve to rise nonlinearly, which will affect the accuracy of the experimental results. Aiming at the problem that the spectrum is easily interfered by the light scattering of suspended matter, a total light scattering compensation method based on Mie scattering theory is studied to compensate for the interference of spectral turbidity. The extinction spectrum of , and then differentiated from the original spectrum, to achieve accurate compensation for turbidity interference, and this method does not require prior data support, which can improve the detection accuracy of organic matter content by UV-Vis spectroscopy.
Our country is a developing country dominated by agriculture, and the trade of agricultural and sideline products accounts for a considerable proportion in China's national economy. Soil moisture content is one of the basic parameters reflecting soil fertility and crop growth in agricultural production activities. The detection of soil moisture content plays an extremely important role in improving soil utilization and increasing crop yield. At the same time, thermal infrared technology has the characteristics of wide acquisition range, high acquisition accuracy, fast information transmission speed and less affected by interference factors. It provides a new method for in-situ detection of soil moisture. In this paper, infrared thermal imaging technology is used to detect the soil in the measured area in situ, which not only avoids the influence of traditional drying method on the sample in the sampling process, but also improves the detection accuracy. The combination of thermal imaging technology and thermal inertia model makes it suitable for the detection of soil moisture content under most environmental conditions, including bare soil, sandy land and low vegetation coverage.
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