In situ measurement of some soil properties in paddy soil using visible and near-infrared spectroscopy.
In situ measurement of some soil properties in paddy soil using visible and near-infrared spectroscopy.
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利用可见光和近红外光谱技术对水稻土中的一些土壤特性进行原位测量
DOI：
10.1371/journal.pone.0105708
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Shuo L
中科院分区：
文献类型：
--
作者：
Wenjun J;Zhou S;Jingyi H;Shuo L
可见-近红外光谱原位测量为在收获和随后的轮作之间的短时间间隔内获取水稻土的土壤信息提供了一种有效的方法。以浙江省水稻土为研究对象，研究了土壤有机质（OM）、有机碳（OC）、全氮（TN）、碱解氮（AN）、速效磷（AP）、速效钾（AK）和pH等土壤理化性质的预测方法。首先，线性偏最小二乘回归（PLSR）进行现场光谱和预测与实验室记录的光谱进行了比较。然后，非线性最小二乘支持向量机（LS-SVM）算法进行旨在提取更多的有用信息，从现场光谱和改善预测。结果表明，在有机碳、有机质、总氮、总氮和pH方面，（i）与基于实验室的光谱相比，使用现场光谱的预测效果较差;（ii）使用LS-SVM的预测精度（R2>0.75，RPD>1.90），与PLSR算法相比有明显的提高，与实验室光谱的PLSR算法结果相当甚至更好;（iii）在AP和AK方面，无论是使用PLSR还是LS-SVM，用原位光谱（R2<0.5，RPD<1.50）获得的预测都很差。结果突出了使用LS-SVM原位可见-近红外光谱水稻土土壤性质的估计。
In situ measurements with visible and near-infrared spectroscopy (vis-NIR) provide an efficient way for acquiring soil information of paddy soils in the short time gap between the harvest and following rotation. The aim of this study was to evaluate its feasibility to predict a series of soil properties including organic matter (OM), organic carbon (OC), total nitrogen (TN), available nitrogen (AN), available phosphorus (AP), available potassium (AK) and pH of paddy soils in Zhejiang province, China. Firstly, the linear partial least squares regression (PLSR) was performed on the in situ spectra and the predictions were compared to those with laboratory-based recorded spectra. Then, the non-linear least-square support vector machine (LS-SVM) algorithm was carried out aiming to extract more useful information from the in situ spectra and improve predictions. Results show that in terms of OC, OM, TN, AN and pH, (i) the predictions were worse using in situ spectra compared to laboratory-based spectra with PLSR algorithm (ii) the prediction accuracy using LS-SVM (R2>0.75, RPD>1.90) was obviously improved with in situ vis-NIR spectra compared to PLSR algorithm, and comparable or even better than results generated using laboratory-based spectra with PLSR; (iii) in terms of AP and AK, poor predictions were obtained with in situ spectra (R2<0.5, RPD<1.50) either using PLSR or LS-SVM. The results highlight the use of LS-SVM for in situ vis-NIR spectroscopic estimation of soil properties of paddy soils.
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DOI：
10.1016/s0169-7439(02)00051-5
发表时间：
2002-10-28
影响因子：
3.9
作者：
Li, BB;Morris, J;Martin, EB
通讯作者：
Martin, EB
影响因子：
6.5
作者：
Mouazen, A. M.;Maleki, M. R.;Ramon, H.
通讯作者：
Ramon, H.
影响因子：
4.2
作者：
Kusumo, B. H.;Hedley, M. J.;Tuohy, M. P.
通讯作者：
Tuohy, M. P.
影响因子：
6.1
作者：
Rossel, R. A. Viscarra;Cattle, S. R.;Fouad, Y.
通讯作者：
Fouad, Y.
中国上空氮沉降增强
影响因子：
64.8
作者：
Liu, Xuejun;Zhang, Ying;Zhang, Fusuo
通讯作者：
Zhang, Fusuo