干旱区生态环境知识资源中心(Arid): Estimation of Low Organic Matter Content in Desert Soil of Arid Area Based on Fractional Order Sprott Chaotic Circuit and Gray Theory

Arid

DOI	10.1109/ACCESS.2020.2970513
	Estimation of Low Organic Matter Content in Desert Soil of Arid Area Based on Fractional Order Sprott Chaotic Circuit and Gray Theory
	Tian, Anhong 1; Fu, Chengbiao 1; Su, Xiaoyi 2; Yau, Her-Terng 3; Xiong, Heigang4
通讯作者	Yau, Her-Terng
来源期刊	IEEE ACCESS
ISSN	2169-3536
出版年	2020
卷号	8 页码:25001-25013
英文摘要	Weak spectral response and low model accuracy problems occurred in the process of quantitative inversion of low organic matter content of desert soil in arid areas. This study collects soil samples and field spectral data from different human interference regions in Fukang City, Xinjiang, to search the soil hyperspectral response law that based on the fractional Sprott chaotic system, and combined with the gray system theory to estimate organic matter content rapidly and accurately. Simulation shows that for those sampling soil with lower organic matter content, the range of X and Y components of the dynamic error motion curve distribution of the Sprott chaotic system is larger, and the motion curve of the non-integer order 1.9-order dynamic error is the most obvious. Since the chaotic attractors will appear as a linear trend according to different contents of the organic matter, so this thesis establishes a gray prediction model based on the 1.9 fractional order chaotic attractors. The R-2, RPD, and RMSE of the low organic matter content in the region without human interruption are 0.995, 14.86, and 0.17, respectively. The R-2, RPD, and RMSE of low organic matter content in the region with human interruption are 0.992, 11.95, and 0.11, respectively. This study demonstrates that it is feasible to estimate the low organic matter content of desert soils in arid regions via the gray prediction model that based on fractional chaotic attractors. This study provides a novel method for soil spectra signal analysis and estimation of the organic matter content.
英文关键词	Organic matter of desert soil fractional order Sprott chaotic system gray prediction model hyperspectral reflectance different human interference regions
类型	Article
语种	英语
国家	Peoples R China ; Taiwan
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000524657700001
WOS关键词	GREY SYSTEM-THEORY ; NIR SPECTROSCOPY ; MOISTURE CONTENT ; REFLECTANCE ; PREDICTION ; MODEL ; SPECTRA ; CARBON
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向	Computer Science ; Engineering ; Telecommunications
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314705
作者单位	1.Qujing Normal Univ, Coll Informat Engn, Qujing 655011, Peoples R China; 2.Natl Taipei Univ Technol, Grad Inst Automat Technol, Taipei 10608, Taiwan; 3.Natl Chin Yi Univ Technol, Dept Elect Engn, Taichung 41170, Taiwan; 4.Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Tian, Anhong,Fu, Chengbiao,Su, Xiaoyi,et al. Estimation of Low Organic Matter Content in Desert Soil of Arid Area Based on Fractional Order Sprott Chaotic Circuit and Gray Theory[J],2020,8:25001-25013.
APA	Tian, Anhong,Fu, Chengbiao,Su, Xiaoyi,Yau, Her-Terng,&Xiong, Heigang.(2020).Estimation of Low Organic Matter Content in Desert Soil of Arid Area Based on Fractional Order Sprott Chaotic Circuit and Gray Theory.IEEE ACCESS,8,25001-25013.
MLA	Tian, Anhong,et al."Estimation of Low Organic Matter Content in Desert Soil of Arid Area Based on Fractional Order Sprott Chaotic Circuit and Gray Theory".IEEE ACCESS 8(2020):25001-25013.