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Study on spectral feature characterizing and soil nitrogen content prediction

机译:光谱特征表征与土壤氮含量预测研究

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Near infrared reflectance spectroscopy offers the potential for rapid and cost-effective soil analysis. The spectra features of the soil samples at different soil particles, manually crushed; <0.25; .5-1; 1-2; 2-5 and >5 mm were collected and analyzed. The results indicated that particle size affected strongly the absorbance of the spectra. Accurate N prediction was obtained when the particle sizes vary from 0.5-1.0; 1.0-2.0 and 2.0-5 mm with r of 0.82; 0.81 and 0.82, respectively. Dried and humid soil samples reflectance spectra were also obtained to analyze the influence of the moisture content on soil spectra features. Poor N prediction was obtained when the soil kept its natural moisture with r of 0.57. This research will be useful for future applicability of NIR spectroscopy as a technique to make prediction on site.
机译:近红外反射光谱法为快速,经济高效的土壤分析提供了潜力。手动压碎的不同土壤颗粒下土壤样品的光谱特征; <0.25; .5-1; 1-2;收集并分析2-5和> 5 mm。结果表明粒径对光谱的吸光度有很大影响。当粒度在0.5-1.0之间变化时,可以得到准确的N预测值。 1.0-2.0和2.0-5毫米,r为0.82;分别为0.81和0.82。还获得了干燥和潮湿的土壤样品的反射光谱,以分析水分含量对土壤光谱特征的影响。当土壤保持其自然水分为r = 0.57时,得到的N预报差。这项研究对于近红外光谱技术作为现场预测技术的未来应用将是有用的。

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