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154篇 您的检索式：作者名="Sudduth"

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	题名	作者	年代	出处	被引量
1	基于直接正交信号校正的土壤磷和钾VNIR测定研究显示文摘利用可见-近红外光谱(VNIR)检测土壤磷(P)和钾(K)含量存在精度不高的问题。为消除土壤质地、类型、颜色、颗粒大小、形状、密度等对光谱精度的影响,利用VNIR检测土壤P和K,采用直接正交信号校正(DOSC)光谱预处理降低干扰的方法,对美国密苏里州8种类型土壤共1 582个土壤样品、在350-2 500 nm波段内进行VNIR光谱扫描,对光谱进行吸光度、均值归一化、5点均值滤波平滑处理后,分别用DOSC处理和未处理数据建立偏最小二乘回归(PLSR)分析模型对P和K进行预测。实验结果表明,DOSC处理后得到的模型预测精度显著提高,其预测均方根误差(RMSEP)降低21.50%(P)、26.93%(P(0,27))、24.64%(K)和27.67%(K(0,192)),预测决定系数(R2)提高85.76%(P)、108.31%(P(0,27))、59.38%(K)和87.01%(K(0,192)),相对分析误差(RPD)提高27.37%(P)、36.90%(P(0,27))、32.75%(K)和38.29%(K(0,192))。用DOSC算法在多类型土壤的P和K的VNIR测定中,能消除由于土壤质地、类型等引起的噪声信息,提高模型预测精度,为多类型土壤P和K的VNIR测定提供了一种光谱预处理方法。	胡国田何东健 Kenneth A Sudduth	2015	农业机械学报2015，46，7：	11
2	Development of Huggins,s and Kraemer5 s equa- tions for polymer solution evaluations from the generalized viscosity model for suspensions显示文摘	Sudduth R D	1997	Journal of Applied Polymer Science1997，66，12：	1
3	Soil moisture and organic matter prediction of surface and subsurface soils using on NIR soil sensor显示文摘	Hummel J W sudduth K A Hollinger S E	2001	Computers and Electronics in Agriculture2001，32，：	1
4	Nitrogen management rid&scale variability in optimal nitrogen fertilizer rate for corn 显示文摘	Scllarf P S Kitchen N R Sudduth K A	2005	American Society of Asnmomy2005，97，：	1
5	Hydrolysis effects on the molecular weight degrada- tion of condensation polymers as estimated from their prior drying condition显示文摘	Sudduth R D	1996	Polymer Engineering and Science1996，36，16：	1
6	Induction of hyperhomocys- teinemia models vascular dementia by induction of cerebral microhe- morrhages and neuroinflammation 显示文摘	Sudduth TL Powe11 DK Smith CD	2013	J Cereb Blood Flow Metab2013，33，5：	1
7	Effects of Bioengineered Streambank Stabilization on Bank Habitat and Macroinvertebrates in Urban Streams显示文摘	Elizabeth B. Sudduth Judy L. Meyer	2006	Environmental Management2006，，2：	1
8	Analysis of the maximum tensile strength of a composite with spherical particulates 显示文摘	Sudduth R D	2006	Compos Mater2006，40，4：	1
9	Intracranial injection of Gammagard, a human IVIg,modulates the inflammatory response of the brain and lowers Abeta in APP/PSI mice along a different time course than anti - Abeta antibodies 显示文摘	Sudduth TL Greenstein A Wilcock DM	2013	J Neurosci2013，33，23：	1
10	Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture显示文摘	Sudduth K A Drummond S T Kitchen N R	2001	Computers and Electronics in Agriculture2001，31，3：	1
11	Estimating depths to claypans using electromagnetic induction methods显示文摘	Doolittle J A Sudduth K A Kitchen N R	1994	J Soil Water Cons1994，49，6：	1
12	Optical sensor for granular fertilizer flow rate measurement显示文摘	Swisher D W Borgelt S C Sudduth K A	2002	Transactions of the ASAE2002，45，4：	1
13	Effects of urbanization and urban stream restoration on the physical and biological structure of stream ecosystems 显示文摘	Violin C R Cada P Sudduth E B	2011	Ecological Applications2011，21，6：	1
14	Induction models vascular dementia by induction of cerebral microhemorrhages and neu- roinflammation显示文摘	Sudduth TL Powell DK of hyperhomocysteinemia Smith CD	2013	J Cereb Blood Flow Metab2013，33，5：	1
15	Nutrient content of whole cottonseed显示文摘	BERTRAND J A SUDDUTH T Q CONDON A		0，，04：	1
16	Comparison of electromagnetic induction and direct sensing of soil electrical conductivity 显示文摘	Sudduth K Kitchen N Bollero G	2003	Agronomy Journal2003，95，3：	1
17	Soil property sens- ing for site- specific crop management 显示文摘	Hummel J W Gaultney L D Sudduth K A	1996	Computers and E- lectronics in Agriculture1996，14，：	1
18	Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for preci-sion agriculture显示文摘	Sudduth K A Drummond S T Kitchen N R	2001	Comput Electron Agr2001，31，3：	1
19	Soil electrical conductivity as a crop productivity measure for claypan soils显示文摘	Kitchen N R Sudduth K A Drummond S T	1999	Journal of Production Agriculture1999，12，：	1
20	Soil moisture and organic matter prediction of surface and subsurface soils using an NIR soil sensor 显示文摘	Hummel J W Sudduth K A Hollinger S E	2001	Computer and Electronics in Agriculture2001，32，：	1

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