Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative
المؤلفون المشاركون
Zhang, Dong
Tiyip, Tashpolat
Ding, Jianli
Wang, Jingzhe
Liu, Wei
Wang, Fei
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-06-13
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Soil organic matter (SOM) content is an important index to measure the level of soil function and soil quality.
However, conventional studies on estimation of SOM content concerned about the classic integer derivative of spectral data, while the fractional derivative information was ignored.
In this research, a total of 103 soil samples were collected in the Ebinur Lake basin, Xinjiang Uighur Autonomous Region, China.
After measuring the Vis-NIR (visible and near-infrared) spectroscopy and SOM content indoor, the raw reflectance and absorbance were treated by fractional derivative from 0 to 2nd order (order interval 0.2).
Partial least squares regression (PLSR) was applied for model calibration, and five commonly used precision indices were used to assess the performance of these 22 models.
The results showed that with the rise of order, these parameters showed the increasing or decreasing trends with vibration and reached the optimal values at the fractional order.
A most robust model was calibrated based on 1.8 order derivative of R, with the lowest RMSEC (3.35 g kg−1) and RMSEP (2.70 g kg−1) and highest Rc2 (0.92), Rp2 (0.91), and RPD (3.42 > 3.0).
This model had excellent predictive performance of estimating SOM content in the study area.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Jingzhe& Tiyip, Tashpolat& Ding, Jianli& Zhang, Dong& Liu, Wei& Wang, Fei. 2017. Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative. Journal of Spectroscopy،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1187769
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Jingzhe…[et al.]. Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative. Journal of Spectroscopy No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1187769
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Jingzhe& Tiyip, Tashpolat& Ding, Jianli& Zhang, Dong& Liu, Wei& Wang, Fei. Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative. Journal of Spectroscopy. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1187769
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1187769
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر