中国科学院机构知识库网格系统: 检索

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	Estimating purple-soil moisture content using Vis-NIR spectroscopy 期刊论文 OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 9, 页码: 2214-2223 作者: Gou, Yu; Wie, Jie; Li, Jin-lin; Han, Chen; Tu, Qing-yan \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2020/11/24 Purple soil Soil moisture Vis-NIR spectroscopy Stepwise multiple linear regression Partial least squares regression
	Estimating the field capacity and permanent wilting point at the regional scale for the Hexi Corridor in China using a state-space modeling approach 期刊论文 OAI收割 JOURNAL OF SOILS AND SEDIMENTS, 2019, 卷号: 19, 期号: 11, 页码: 3805-3816 作者: Li, Xiangdong; Shao, Ming'an; Zhao, Chunlei \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2020/05/19 Field capacity Hexi Corridor Permanent wilting point State-space model Stepwise multiple linear regression
	Estimating the field capacity and permanent wilting point at the regional scale for the Hexi Corridor in China using a state-space modeling approach 期刊论文 OAI收割 JOURNAL OF SOILS AND SEDIMENTS, 2019, 卷号: 19, 期号: 11, 页码: 3805-3816 作者: Li, Xiangdong; Shao, Ming'an; Zhao, Chunlei \| 收藏 \| 浏览/下载：10/0 \| 提交时间：2020/05/19 Field capacity Hexi Corridor Permanent wilting point State-space model Stepwise multiple linear regression
	Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula 期刊论文 OAI收割 CATENA, 2016, 卷号: 137, 页码: 340-349 作者: Yu, X; Liu, Q; Wang, YB; Liu, XY; Liu, X 收藏 \| 浏览/下载：42/0 \| 提交时间：2016/04/24 Multiple linear stepwise regression Partial least square regression Estimation Soil element contents Visible/near-infrared spectroscopy
	Contribution of fertilisation, precipitation, and variety to grain yield in winter wheat on the semiarid Loess Plateau of China 期刊论文 OAI收割 ACTA AGRICULTURAE SCANDINAVICA, SECTION B — SOIL & PLANT SCIENCE, 2016, 卷号: 66, 期号: 5, 页码: 406-416 作者: Yutong Hu; Mingde Hao; Xiaorong Wei; Xu Chen; Jing Zhao 收藏 \| 浏览/下载：48/0 \| 提交时间：2016/12/20 Fertilisation treatments fertiliser-contribution rate precipitation-use efficiency grain yield precipitation patterns stepwise multiple linear regression
	Statistical Analysis of Leaf Water Use Efficiency and Physiology Traits of Winter Wheat Under Drought Condition 期刊论文 OAI收割 JOURNAL OF INTEGRATIVE AGRICULTURE, 2012, 卷号: 11, 期号: 1, 页码: 82-89 Wu Xiao-li; Bao Wei-kai 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/07/03 leaf water use efficiency multiple linear regression path analysis principal components simple correlation stepwise regression wheat genotype
	Hyperspectral reflectance models for retrieving heavy metal content: application in the archaeological soil 期刊论文 iSwitch采集 JOURNAL OF INFRARED AND MILLIMETER WAVES, 2011, 卷号: 30, 期号: 2, 页码: 109-114 作者: Xu Ming-Xing; Wu Shao-Hua; Zhou Sheng-Lu; Liao Fu-Qiang; Ma Chun-Mei 收藏 \| 浏览/下载：32/0 \| 提交时间：2019/10/10 hyperspectral reflectance heavy metal content multiple linear stepwise regression
	The study on the near infrared spectrum technology of sauce component analysis (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li S.; Wang C.; Chen X.; Chen X. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 The author Shangyu Li engages in supervising and inspecting the quality of products. In soy sauce manufacturing quality control of intermediate and final products by many components such as total nitrogen saltless soluble solids nitrogen of amino acids and total acid is demanded. Wet chemistry analytical methods need much labor and time for these analyses. In order to compensate for this problem we used near infrared spectroscopy technology to measure the chemical-composition of soy sauce. In the course of the work a certain amount of soy sauce was collected and was analyzed by wet chemistry analytical methods. The soy sauce was scanned by two kinds of the spectrometer the Fourier Transform near infrared spectrometer (FT-NIR spectrometer) and the filter near infrared spectroscopy analyzer. The near infrared spectroscopy of soy sauce was calibrated with the components of wet chemistry methods by partial least squares regression and stepwise multiple linear regression. The contents of saltless soluble solids total nitrogen total acid and nitrogen of amino acids were predicted by cross validation. The results are compared with the wet chemistry analytical methods. The correlation coefficient and root-mean-square error of prediction (RMSEP) in the better prediction run were found to be 0.961 and 0.206 for total nitrogen 0.913 and 1.215 for saltless soluble solids 0.855 and 0.199 nitrogen of amino acids 0.966 and 0.231 for total acid respectively. The results presented here demonstrate that the NIR spectroscopy technology is promising for fast and reliable determination of major components of soy sauce.