Spectral Characterization and N Content Prediction of Soil with Different Particle Size and Moisture Content
BAO Yi-dan1,HE Yong1,FANG Hui1*,Annia Garcia Pereira1,2
1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China 2. Mechanization Faculty, Havana Agricultural University, Cuba
Abstract:The present work was focused on analyzing the influence of moisture content, particle size, light source incidence angle and observation height on a loamy mixed soil spectra. Meanwhile, prediction models for N content with different moisture and particle sizes were obtained, and the influence of these properties on N prediction was studied. The future applicability of NIR spectroscopy as a technique able to make prediction on the spot was analyzed. Observation height 100 mm and light source angle 45° were chosen to present a sharpest spectra. Moisture content and particle size were found to affect strongly the absorbance of the spectra, and an accurate N prediction was obtained when the particle sizes varied from 0.5-1.0,1.0-2.0 and 2-5 mm with r of 0.82,0.81 and 0.81, respectively. Poor N prediction was obtained when the soil kept its natural moisture with r of 0.57 and SECV of 3.06 compared with the performance when it was dry with r of 0.81 and SECV of 2.40.
鲍一丹1,何勇1,方慧1*,Annia Garcia Pereira1,2 . 土壤的光谱特征及氮含量的预测研究[J]. 光谱学与光谱分析, 2007, 27(01): 62-65.
BAO Yi-dan1,HE Yong1,FANG Hui1*,Annia Garcia Pereira1,2 . Spectral Characterization and N Content Prediction of Soil with Different Particle Size and Moisture Content . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(01): 62-65.
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