DIN EN 15948 - DRAFT PDF

DIN EN 15948 - DRAFT PDF

Name:
DIN EN 15948 - DRAFT PDF

Published Date:
06/01/2009

Status:
Active

Description:

Draft Document - Cereals - Determination of moisture and protein - Method using Near-Infrared-Transmittance in combination with an Artificial Neural Network (ANN) Prediction Model and Associated Database; German version prEN 15948

Publisher:
DIN-adopted European Standard

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Russian version):
200 business days

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Choose Document Language:
$24.525
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File Size : 1 file
Note : This product is unavailable in Russia, Ukraine, Belarus
Number of Pages : 18
Product Code(s) : 1523873, 1523873, 1523873
Published : 06/01/2009

History

DIN EN 15948
Published Date: 12/01/2020
Cereals - Determination of moisture and protein - Method using Near-Infrared Spectroscopy in whole kernels
$30.738
DIN EN 15948 - DRAFT
Published Date: 01/01/2019
Draft Document - Cereals - Determination of moisture and protein - Method using Near-Infrared-Spectroscopy in whole kernels; German and English version prEN 15948:2018
$22.236
DIN EN 15948 - DRAFT
Published Date: 08/01/2014
Draft Document - Cereals - Determination of moisture and protein - Method using Near-Infrared-Spectroscopy in whole kernels; German version FprEN 15948:2014
$38.913
DIN EN 15948
Published Date: 05/01/2012
Cereals - Determination of moisture and protein - Method using Near-Infrared-Spectroscopy in whole kernels
$33.681
DIN EN 15948 - DRAFT
Published Date: 01/01/2011
Draft Document - Cereals - Determination of moisture and protein - Method using Near-Infrared-Transmittance in Method using Near-Infrared-Spectroscopy in whole kernels; German version prEN 15948:2011
$26.814
DIN EN 15948 - DRAFT
Published Date: 06/01/2009
Draft Document - Cereals - Determination of moisture and protein - Method using Near-Infrared-Transmittance in combination with an Artificial Neural Network (ANN) Prediction Model and Associated Database; German version prEN 15948
$24.525

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