date: 2022-11-04T07:18:51Z
pdf:PDFVersion: 1.4
pdf:docinfo:title: Choosing multiple linear regressions for weather-based crop yield prediction with ABSOLUT v1.2 applied to the districts of Germany
xmp:CreatorTool: Adobe InDesign 15.0 (Windows)
access_permission:can_print_degraded: true
subject: International Journal of Biometeorology, https://doi.org/10.1007/s00484-022-02356-5
pdfa:PDFVersion: A-2b
xmpMM:History:Action: converted
dc:format: application/pdf; version=1.4
pdf:docinfo:custom:robots: noindex
pdf:docinfo:creator_tool: Adobe InDesign 15.0 (Windows)
access_permission:fill_in_form: true
xmpMM:History:When: 2022-09-03T01:09:30Z
pdf:encrypted: false
dc:title: Choosing multiple linear regressions for weather-based crop yield prediction with ABSOLUT v1.2 applied to the districts of Germany
modified: 2022-11-04T07:18:51Z
cp:subject: International Journal of Biometeorology, https://doi.org/10.1007/s00484-022-02356-5
xmpMM:History:SoftwareAgent: pdfToolbox
pdf:docinfo:custom:CrossMarkDomains[1]: springer.com
robots: noindex
pdf:docinfo:subject: International Journal of Biometeorology, https://doi.org/10.1007/s00484-022-02356-5
xmpMM:History:InstanceID: uuid:c5df0d5b-9cbb-4334-8193-f6c042c3c7a4
pdf:docinfo:creator:  Tobias Conradt
meta:author:  Tobias Conradt
trapped: False
meta:creation-date: 2022-11-04T07:18:51Z
pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23
created: Fri Nov 04 08:18:51 CET 2022
access_permission:extract_for_accessibility: true
Creation-Date: 2022-11-04T07:18:51Z
pdfaid:part: 2
pdf:docinfo:custom:CrossMarkDomains[2]: springerlink.com
pdf:docinfo:custom:doi: 10.1007/s00484-022-02356-5
pdf:docinfo:custom:CrossmarkDomainExclusive: true
Author:  Tobias Conradt
producer: Acrobat Distiller 9.0.0 (Windows)
CrossmarkDomainExclusive: true
pdf:docinfo:producer: Acrobat Distiller 9.0.0 (Windows)
doi: 10.1007/s00484-022-02356-5
dc:description: International Journal of Biometeorology, https://doi.org/10.1007/s00484-022-02356-5
Keywords: Crop yield modelling;Multiple linear regression;Weather-based yield prediction;Machine learning;Statistical inference
access_permission:modify_annotations: true
dc:creator:  Tobias Conradt
description: International Journal of Biometeorology, https://doi.org/10.1007/s00484-022-02356-5
dcterms:created: 2022-11-04T07:18:51Z
Last-Modified: 2022-11-04T07:18:51Z
dcterms:modified: 2022-11-04T07:18:51Z
title: Choosing multiple linear regressions for weather-based crop yield prediction with ABSOLUT v1.2 applied to the districts of Germany
xmpMM:DocumentID: uuid:c5df0d5b-9cbb-4334-8193-f6c042c3c7a4
Last-Save-Date: 2022-11-04T07:18:51Z
CrossMarkDomains[1]: springer.com
pdf:docinfo:keywords: Crop yield modelling;Multiple linear regression;Weather-based yield prediction;Machine learning;Statistical inference
pdf:docinfo:modified: 2022-11-04T07:18:51Z
meta:save-date: 2022-11-04T07:18:51Z
Content-Type: application/pdf
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator:  Tobias Conradt
pdfaid:conformance: B
dc:subject: Crop yield modelling;Multiple linear regression;Weather-based yield prediction;Machine learning;Statistical inference
access_permission:assemble_document: true
xmpTPg:NPages: 14
access_permission:extract_content: true
access_permission:can_print: true
pdf:docinfo:trapped: False
CrossMarkDomains[2]: springerlink.com
meta:keyword: Crop yield modelling;Multiple linear regression;Weather-based yield prediction;Machine learning;Statistical inference
access_permission:can_modify: true
pdf:docinfo:created: 2022-11-04T07:18:51Z
CrossmarkMajorVersionDate: 2010-04-23