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首页> 外文会议>IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN) >SOIL CLASSIFICATION VIA MID-INFRARED SPECTROSCOPY
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SOIL CLASSIFICATION VIA MID-INFRARED SPECTROSCOPY

机译：通过中红外光谱对土壤进行分类

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摘要

The need for rapid and inexpensive techniques for soil characterization has led to the investigation of modern technologies, and in particular those based on reflectance spectroscopy. While near-infrared has been traditionally used, mid-infrared in the 400-4000 cm-1 range is becoming increasingly common due to the specificity of the absorbance bands in this spectral range. The present work discusses two methods based on mid-infrared spectroscopy for soil classification: attenuated total reflectance (ATR) and photoacoustic spectroscopy. The ATR method requires a soil sample close to water saturation, and as a result only the 800-1600 cm-1 interval of the spectrum yields a useful signal. Typical ATR soil spectra consist mostly of several broad bands in the 800-1200 cm-1 region and a calcium carbonate band around 1450 cm-1. By comparison, photoacoustic measurements are conducted with air-dried samples, and the photoacoustic spectra exhibit a larger number of clearly-defined bands. Both methods were tested on data sets containing over 100 samples of various soils commonly used in Israeli agriculture. Data analysis was conducted by wavelet decomposition and neural network classifiers. Very good classification performances were achieved, with correct classification rates of the validation samples typically above 95%.
机译：对快速，廉价的土壤表征技术的需求导致了对现代技术的研究，特别是基于反射光谱的技术。尽管传统上已使用近红外，但由于该光谱范围内吸收带的特异性，400-4000 cm-1范围内的中红外正变得越来越普遍。本工作讨论了基于中红外光谱法对土壤进行分类的两种方法：衰减全反射率（ATR）和光声光谱法。 ATR方法需要接近水饱和度的土壤样品，因此只有800-1600 cm-1的光谱间隔会产生有用的信号。典型的ATR土壤光谱主要由800-1200 cm-1区域中的几个宽带带和1450 cm-1附近的碳酸钙带组成。相比之下，对风干样品进行光声测量，并且光声光谱显示出大量清晰可辨的谱带。两种方法均在包含100多种以色列农业常用土壤样本的数据集上进行了测试。通过小波分解和神经网络分类器进行数据分析。获得了非常好的分类性能，其中验证样品的正确分类率通常在95％以上。

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