About: Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile

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scholarly article by Naftali Goldshleger et al published 2012 in Applied and environmental soil science

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у 2012 (uk) article scientifique publié en 2012 (fr) im Jahr 2012 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by Naftali Goldshleger et al published 2012 in Applied and environmental soil science (en)
publication date	wds:Q58697925-4A1C221A-2543-43D0-96DA-23BD6D7E4C67
publication date	2012-01-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q58697925-4E250FEC-D214-400F-99CA-B538F4091164 wds:Q58697925-5D338774-780A-4E15-B32B-4BD2061FCEB8 wds:Q58697925-EE06E9B8-CCA2-4577-AC8B-A87567233FDC wds:Q58697925-FEAEB3CB-2EE3-4973-8EEC-254B498045FD
cites work	PLS-regression: a basic tool of chemometrics Possibilities of visible–near-infrared spectroscopy for the assessment of soil contamination in river floodplains Global soil characterization with VNIR diffuse reflectance spectroscopy The potential of field spectroscopy for the assessment of sediment properties in river floodplains
author name string	wds:Q58697925-25DB3749-3FF2-4BB1-B6FB-4DB636736908 wds:Q58697925-728974C0-1032-4C6A-B128-6CE9E24A4883 wds:Q58697925-8051D056-9888-4B75-8045-DBDE61DA6261
author name string	Alexandra Chudnovsky Eyal Ben-Dor Naftali Goldshleger
rdfs:label	Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile (en) Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile (nl)
skos:prefLabel	Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile (en) Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile (nl)
name	Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile (en) Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile (nl)
title	wds:Q58697925-51E9F4CC-A977-4155-A8B5-8AC61D2BC232
title	Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile (en)
page(s)	wds:Q58697925-1E999B57-C0EA-4754-9983-14B50F1FE5F9
page(s)	1-9
instance of	wds:Q58697925-6566FB09-502E-4721-A82B-AD8888DD763E
instance of	scholarly article
main subject	wds:Q58697925-90E94180-CD27-4326-B52D-479FE061C1F1 wds:Q58697925-A29B1203-30F4-4346-B29A-671A705E1A4D
main subject	artificial neural network soil science
published in	wds:Q58697925-316B478A-55AB-4C7B-92FC-9069217A6EA6
published in	Applied and Environmental Soil Science
volume	wds:Q58697925-98C1FA17-7B89-411B-BDEB-1D6F3EDF02A9
volume	2012
DOI	wds:Q58697925-B18917AD-5616-42F2-B575-CA29E147446E
DOI	http://dx.doi.org/10.1155/2012/439567
DOI	10.1155/2012/439567
copyright license	wds:Q58697925-651EE1C3-5D0A-4E4E-898C-6B8E7E75AAF4
copyright status	wds:Q58697925-0FCA216D-5797-4B6A-AE7F-B527D13FB375
copyright license	Creative Commons Attribution 3.0 Unported
copyright status	copyrighted
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58697925
is cites work of	Combination of optical coherence tomography and near infrared spectroscopy enhances determination of articular cartilage composition and structure Arthroscopic near infrared spectroscopy enables simultaneous quantitative evaluation of articular cartilage and subchondral bone in vivo
is cites work of	wds:Q41629317-4BA81B1E-2749-4573-B677-8E9E1364432E wds:Q58759525-319E8A02-A75A-451E-8272-3258010EEA5F

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