Determining soil organic carbon concentration in agricultural fields using a handheld spectroradiometer:Implication for soil fertility measurement
作者机构：Precision Agriculture Research ChairKing Saud UniversityRiyadh 11451Saudi Arabia Department of Agricultural EngineeringCollege of Food and Agriculture SciencesKing Saud UniversityRiyadh 11451Saudi Arabia
出 版 物：《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报（英文）)
年 卷 期：2018年第11卷第6期
页 面：13-19页
核心收录：
学科分类：09[农学] 0903[农学-农业资源与环境] 090301[农学-土壤学]
主 题：soil fertility organic carbon modeling spectroscopy reflectance
摘 要：The soil organic carbon(SOC)plays a vital role in plant growth and development,and therefore is considered as one of the most important indicators of soil *** study was carried out in the central region of Saudi Arabia to explore the potential of spectroscopy in determining the SOC concentration in low-fertility *** reflectance data were collected,under the controlled laboratory conditions on 39 air-dried 2.0 mm sieved soil samples,using a handheld spectroradiometer of a wavelength range between 350 nm and 2500 nm in the direct contact probe *** concentration of the SOC was determined using the Walkley and Black(W&B)and the UV-VIS spectrophotometric *** increase in the concentration of SOC was associated with a decrease in the corresponding spectral *** analysis showed linear relationships with high significant correlation between the spectral reflectance and the SOC measured by both the UV-VIS(Model-1:R^(2)=0.46,p=0.00015 and RMSE=6.6 g/kg)and the W&B(Model-2:R^(2)=0.48,p=8.92E-05 and RMSE=2.8 g/kg)*** these models,two wavebands with wavelengths of 2167 nm(Model-1)and 1359 nm(Model-2)were identified as the most sensitive bands to the SOC *** cross-validation confirmed the validity of Model-1 with R^(2),p and RMSE values of 0.50,0.0099 and 6.6 g/kg,*** validation results of the Model-2 showed values of R^(2),p and RMSE of 0.72,0.00023 and 4.0 g/kg,*** of this study revealed the possibility and the potential of using the spectral reflectance technique in predicting the concentration of SOC.
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