|Table of Contents|

Estimation for Available Nitrogen Content of Apple Orchard Soil by Near Infrared Spectroscopy and Partial Least Squares Regression

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2018年03
Page:
113-119
Research Field:
Publishing date:

Info

Title:
Estimation for Available Nitrogen Content of Apple Orchard Soil by Near Infrared Spectroscopy and Partial Least Squares Regression
Author(s):
LI Zhuang1; ZHANG Guangcai2; AN Xiuhong1; LI Min1; LI Enmao1; CHENG Cungang1
1.Institute of Pomology,Chinese Academy of Agricultural Science/Key Laboratory of Horticulture Crops Germplasm Resources Utilization,Ministry of Agriculture,Xingcheng,Liaoning 125100；2.College of Land and Environment,Shenyang Agricultural University,Shenyang,Liaoning 110866
Keywords:
apple orchard; soil available nitrogen; near infrared spectroscopy; partial least squares regression （PLS)
PACS:
-
DOI:
10.11937/bfyy.20170119
Abstract:
As the experimental materials,63 orchard soils were used to construct rapid,simple and safe the soil nutrients content analysis methods by researching the relationship between soil near infrared spectral reflectance with soil nitrogen content.First,spectral values of sixty-three orchards soil and available nitrogen contents were obtained by Field Spec3 instrument and alkali-hydrolyzed diffusing method,respectively.Then,the reflectance spectra value was transformed into absorbance spectra value,data preprocessed,constructed and verificated the model with the software View SpecPro RS3 and Unscrambler 9.7,respectively.The results showed that soil available nitrogen content partial least squares regression （PLS) model was constructed，with factors （PCs) equal to 9,Rc2 equal to 0.968,Rv2 equal to 0.802,RMSEC equal to 4.102 mg?kg-1,RMSECV equal to 10.217 mg?kg-1,RPD equal to 5.631 and RER equal to 22.009.The experiment showed that near infrared spectroscopy from apple orchard soil could be used for quantification of available nitrogen in soil for quick diagnosis of nutrients.

References:

[1]何汝艳,乔小军,蒋金豹,等.小波法反演条锈病胁迫下冬小麦冠层叶片全氮含量[J].农业工程学报,2015,31（2):141-146.

[2]张红涛,毛罕平,韩绿化.近红外高光谱成像技术检测粮仓米象活虫[J].农业工程学报,2012,28（8):263-268.
[3]李江波,饶秀勤,应义斌,等.农产品外部品质无损检测中高光谱成像技术的应用研究进展[J].光谱学与光谱分析,2011,31（8):2021-2026.
[4]LIU D Y,GUO W H.Identification of kiwifruits treated with exogenous plant growth regulator using near-infrared hyperspectral reflectance imaging[J].Food Analytical Methods,2015,8（1):164-172.
[5]王磊,白由路,卢艳丽,等.基于光谱分析的玉米氮素营养诊断[J].植物营养与肥料学报,2011,17（2):333-340.
[6]樊红柱,同延安,吕世华,等.苹果树体氮含量与氮累积量的年周期变化[J].中国土壤与肥料,2008（4):15-25.
[7]邢东兴,常庆瑞.基于光谱分析的果树叶片全氮、全磷、全钾含量估测研究:以红富士苹果树为例[J].西北农林科技大学学报（自然科学版),2009,37（2):141-147.
[8]张瑶,郑立华,李民赞,等.基于光谱特征分析的苹果树叶片营养素预测模型构建[J].农业工程学报,2013,29（8):171-177.
[9]ZHANG G C,LI Z,YAN X M.Rapid analysis of apple leaf nitrogen using near infrared spectroscopy and multiple linear regression[J].Communications in Soil Science and Plant Analysis,2012,43（13):1768-1772.
[10]潘倍,赵庚星,朱西存,等.基于高光谱的苹果树冠层磷素状况估测模型研究[J].红外,2012,33（6):27-31.
[11]KIM Y J,CHOI C H.The analysis of paddy soils in Korea using visible-near infrared spectroscopy for development of real-time soil measurement system[J].Journal of the Korean Society for Applied Biological Chemistry,2013,56:559-565.
[12]VASAT R,KODESOVA R,BORUVKA L,et al.Consideration of peak parameters derived from continuum-removed spectra to predict extractable nutrients in soils with visible and near-infrared diffuse reflectance spectroscopy （VNIR-DRS)[J].Geoderma,2014,232-234:208-218.
[13]MERVIN S L,NOURA Z,BERNIE J.Rapid determination of soil organic matter quality indicators using visible near infrared reflectance spectroscopy[J].Geoderma,2014,232-234:449-458.
[14]DALEL A,GAETAN F T.Predicting soil phosphorus-related properties using near-infrared reflectance spectroscopy[J].Soil Science Society of America Journal,2012,76（6):2318-2326.
[15]贾生尧,杨祥龙,李光,等.近红外光谱技术结合递归偏最小二乘算法对土壤速效磷与速效钾含量测定研究[J].光谱学与光谱分析,2015,35（9):2516-2520.
[16]张雪莲,李晓娜,武菊英,等.不同类型土壤总氮的近红外光谱技术测定研究[J].光谱学与光谱分析,2010,30（4):906-910.
[17]吴茜,杨宇虹,徐照丽,等.应用局部神经网络和可见/近红外光谱法估测土壤有效氮磷钾[J].光谱学与光谱分析,2014,34（8):2102-2105.
[18]栾福明,熊黑钢,王芳,等.基于小波分析的土壤碱解氮含量高光谱反演[J].光谱学与光谱分析,2013,33（10):2828-2832.
[19]MALLEY D F,BEN-DOR E,MARTIN P D.Application in analysis of soils[M]//ROBERTS C A,WORKMAN J,REEVES J B.Near-infrared spectroscopy in agriculture.Madison,W I:ASA,CSSA and SSSA,2004:729-784.
[20]刘燕德,熊松盛,陈洞滨.赣南脐橙果园土壤全氮和有机质近红外漫反射光谱检测[J].光谱学与光谱分析,2013,33（10):2679-2682.

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Last Update: 2018-02-09