Spectral feature characterization and water content prediction in soil using different containers

Haiyan Song; Yong He; Gang Qin

doi:10.1117/12.710933

27 October 2006 Spectral feature characterization and water content prediction in soil using different containers

Haiyan Song, Yong He, Gang Qin

Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 604728 (2006) https://doi.org/10.1117/12.710933
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China

Abstract

Near infrared reflectance spectroscopy offers the potential for rapid and cost-effective soil analysis. Unfortunately, their prediction model is valid to their sampling pretreatment and the experiment proceedings, and this is believed to be due to the influence of the physical properties of the soil sample and the geometric conditions of the sampling accessory. The objective of this study was to evaluate the influence of the container to soil spectra in a given distance and angle of the spectra detector, and their ability to soil water content prediction. Six petri dishes with different diameters and heights (d12.5cm, h2.2cm; d14.7cm, h2.9cm; d15.7cm, h2.8cm; dl0.4cm, h1.7cm; d9.3cm, hl.5cm; d9.7cm, hl.9cm) were applied for the analysis. A total of 106 soil samples were obtained in Zhejiang, Hangzhou and their spectral features and the water content were analyzed. Principal component analysis (PCA) - artificial neural network (ANN) was used to build prediction models with a calibration data set of 81 randomly chosen samples. The remaining 25 soil samples were used to valithte the prediction model. Accurate water content prediction was obtained when the diameter of the soil container was 12.5 cm with r = 0.91. The results were consistent with the geometric analysis.

Citation Download Citation

Haiyan Song, Yong He, and Gang Qin "Spectral feature characterization and water content prediction in soil using different containers", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 604728 (27 October 2006); https://doi.org/10.1117/12.710933

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