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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/49JMUUS
Repositorysid.inpe.br/mtc-m21d/2023/08.07.13.34   (restricted access)
Last Update2023:08.07.13.34.50 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2023/08.07.13.34.51
Metadata Last Update2024:01.02.17.16.45 (UTC) administrator
DOI10.3389/fsufs.2023.1084728
ISSN2571-581X
Citation KeyTomasellaMartShre:2023:OpToIm
TitleAn open-source tool for improving on-farm yield forecasting systems
Year2023
MonthJuly
Access Date2024, May 16
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size6751 KiB
2. Context
Author1 Tomasella, Javier
2 Martins, Minella Alves
3 Shrestha, Nirman
Resume Identifier1 8JMKD3MGP5W/3C9JHE3
Group1
2 DIIAV-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 International Water Management Institute
Author e-Mail Address1
2 minella.martins@gmail.com
JournalFrontiers in Sustainable Food Systems
Volume7
Pagese0084728
History (UTC)2023-08-07 13:35:16 :: simone -> administrator :: 2023
2024-01-02 17:16:45 :: administrator -> simone :: 2023
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAquaCrop Fortran
soil fertility
irrigation management
yield gap
optimization
computational efficiency
AbstractIntroductionThe increased frequency of extreme climate events, many of them of rapid onset, observed in many world regions, demands the development of a crop forecasting system for hazard preparedness based on both intraseasonal and extended climate prediction. This paper presents a Fortran version of the Crop Productivity Model AquaCrop that assesses climate and soil fertility effects on yield gap, which is crucial in crop forecasting systems MethodsFirstly, the Fortran version model - AQF outputs were compared to the latest version of AquaCrop v 6.1. The computational performance of both versions was then compared using a 100-year hypothetical experiment. Then, field experiments combining fertility and water stress on productivity were used to assess AQF model simulation. Finally, we demonstrated the applicability of this software in a crop operational forecast system. ResultsResults revealed that the Fortran version showed statistically similar results to the original version (r(2) > 0.93 and RMSEn < 11%, except in one experiment) and better computational efficiency. Field data indicated that AQF simulations are in close agreement with observation. ConclusionAQF offers a version of the AquaCrop developed for time-consuming applications, such as crop forecast systems and climate change simulations over large areas and explores mitigation and adaptation actions in the face of adverse effects of future climate change.
AreaCST
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > An open-source tool...
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4. Conditions of access and use
Languageen
Target Filefsufs-07-1084728.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 2
sid.inpe.br/mtc-m21/2012/07.13.14.50.34 2
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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