h1

h2

h3

h4

h5
h6
001031957 001__ 1031957
001031957 005__ 20260317050504.0
001031957 0247_ $$2ISSN$$a0378-3774
001031957 0247_ $$2ISSN$$a1873-2283
001031957 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-105031065589
001031957 0247_ $$2WOS$$aWOS:001706190800001
001031957 0247_ $$2doi$$a10.1016/j.agwat.2026.110254
001031957 0247_ $$2datacite_doi$$a10.18154/RWTH-2026-03209
001031957 037__ $$aRWTH-2026-03209
001031957 041__ $$aEnglish
001031957 082__ $$a640
001031957 1001_ $$0P:(DE-82)1031959$$aSahu, Hempushpa$$b0$$urwth
001031957 245__ $$aPredictive drivers and transferability of multi-scale machine learning based crop yield prediction under drought across European and Asian climates$$honline, print
001031957 260__ $$aAmsterdam$$bElsevier$$c2026
001031957 300__ $$a[1]-16
001031957 3367_ $$00$$2EndNote$$aJournal Article
001031957 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
001031957 3367_ $$2BibTeX$$aARTICLE
001031957 3367_ $$2DRIVER$$aarticle
001031957 3367_ $$2DataCite$$aOutput Types/Journal article
001031957 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001031957 588__ $$aDataset connected to , , , CrossRef, Journals: publications.rwth-aachen.de
001031957 591__ $$aGermany
001031957 591__ $$aIndia
001031957 7001_ $$aGarg, Pradeep Kumar$$b1
001031957 7001_ $$aVijay, Saurabh$$b2
001031957 7001_ $$0P:(DE-82)IDM06471$$aDasgupta, Antara$$b3$$eCorresponding author$$urwth
001031957 773__ $$0PERI:(DE-600)2012450-8$$a10.1016/j.agwat.2026.110254$$p110254$$tAgricultural water management$$v327$$x1873-2283$$y2026
001031957 8564_ $$uhttps://publications.rwth-aachen.de/record/1031957/files/1031957.pdf$$yOpenAccess
001031957 909CO $$ooai:publications.rwth-aachen.de:1031957$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery
001031957 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
001031957 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bAGR WATER MANAGE : 2022$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bAGR WATER MANAGE : 2022$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2025-08-21T14:42:16Z
001031957 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2025-08-21T14:42:16Z
001031957 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001031957 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2025-08-21T14:42:16Z
001031957 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-11-11
001031957 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-11-11
001031957 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001031957 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2025-11-11$$wger
001031957 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-11-11
001031957 9141_ $$y2026
001031957 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)1031959$$aRWTH Aachen$$b0$$kRWTH
001031957 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM06471$$aRWTH Aachen$$b3$$kRWTH
001031957 9201_ $$0I:(DE-82)314410_20140620$$k314410$$lLehrstuhl und Institut für Wasserbau und Wasserwirtschaft$$x0
001031957 9201_ $$0I:(DE-82)316830_20230509$$k316830$$lJuniorprofessur für Data-driven Computing in Civil Engineering$$x1
001031957 961__ $$c2026-03-16T11:35:16.217263$$x2026-03-16T11:35:16.217263$$z2026-03-16T11:35:16.217263
001031957 980__ $$aI:(DE-82)314410_20140620
001031957 980__ $$aI:(DE-82)316830_20230509
001031957 980__ $$aUNRESTRICTED
001031957 980__ $$aVDB
001031957 980__ $$ajournal
001031957 9801_ $$aFullTexts