Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1183807
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGIONGO, V.
dc.contributor.authorACOSTA, A. da S.
dc.contributor.authorDOSSA, A. A.
dc.contributor.authorSANTI, A.
dc.contributor.authorAMARAL, A. J. do
dc.contributor.authorPATRICIO, D. I.
dc.contributor.authorDENARDIN, J. E.
dc.contributor.authorFIGUEIREDO, M. C. B.
dc.contributor.authorMATSUURA, M. I. da S. F.
dc.contributor.authorSAVIOLI, J. P. das D.
dc.contributor.authorANDRADE, A. de O.
dc.contributor.authorSANTANA, M. da S.
dc.date.accessioned2026-01-23T16:50:05Z-
dc.date.available2026-01-23T16:50:05Z-
dc.date.created2026-01-22
dc.date.issued2025
dc.identifier.citationIn: INTERNATIONAL CONFERENCE ON LIFE CYCLE MANAGEMENT, 12., 2025, Palermo. [Abstract book...] Palermo: INAB,2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1183807-
dc.descriptionThe world is becoming increasingly dynamic, and, as a result, decision-making processes within companies have had to accelerate tokeep up with this pace. The importance of tools that reconcile environmental issues with the speed of response required by stakeholdersemerges - whether in selecting a product with better environmental performance (as in the case of consumers) or in defining a material with alower environmental burden (as in the case of companies). This paper revised 34 Life Cycle Assessment (LCA)-based tools in the context ofintegrating them into Artificial Intelligence (AI) features. Several tools were found catering to different sectors and specific environmentalcharacteristics. These tools demonstrate applicability in sectors such as agriculture (14), multisectoral (4), industries (3), construction (2),packaging (2), transport (2), end-of-life (2) and others (5) serving as essential instruments for decision-making based on environmental data.However, it is crucial to emphasize that they do not replace comprehensive LCA studies but instead facilitate analyses and provide robustsupport for more informed decisions. Finally, the possibility of integrating these tools with Artificial Intelligence (AI) systems stands out for 6tools, as they are available for download in Excel format, they can therefore be easily integrated with AI using Python libraries. Suchintegration, by exploring synergies between AI and be LCA tools, represents a promising strategy and constitutes the central focus of this work.
dc.language.isopor
dc.rightsopenAccess
dc.subjectEutroficação
dc.titleFreshwater and marine eutrophication in tobacco cultivation in Brazil: a case study.
dc.typeResumo em anais e proceedings
dc.subject.nalthesaurusFreshwater
dc.subject.nalthesaurusTobacco
dc.format.extent2P. 327.
riaa.ainfo.id1183807
riaa.ainfo.lastupdate2026-01-23
dc.contributor.institutionVANDERLISE GIONGO, CNPT
dc.contributor.institutionADAO DA SILVA ACOSTA, CNPTpor
dc.contributor.institutionALVARO AUGUSTO DOSSA, CNPTpor
dc.contributor.institutionANDERSON SANTI, CNPTpor
dc.contributor.institutionANDRE JULIO DO AMARAL, CNPTpor
dc.contributor.institutionDIEGO INACIO PATRICIO, CNPTpor
dc.contributor.institutionJOSE ELOIR DENARDIN, CNPTpor
dc.contributor.institutionM. C. B. FIGUEIREDOpor
dc.contributor.institutionMARILIA IEDA DA SILVEIRA FOLEGATTI MATSUURA, CNPMApor
dc.contributor.institutionJ. P. DAS D. SAVIOLIpor
dc.contributor.institutionA. DE O. ANDRADE, BRISTISH AMERICAN TOBACCO, CACHOEIRINHA, RS, BRAZILpor
dc.contributor.institutionM. DA S. SANTANA, EDMUNDO GASTAL AGRICULTURAL RESEARCH AND DEVELOPMENT SUPPORT FOUNDATION, PELOTAS, RS, BRAZIL.por
Appears in Collections:Resumo em anais de congresso (CNPMA)

Files in This Item:
File Description SizeFormat 
OK-RA-FolegattiMIS-LCM-2025-p327.pdf738,26 kBAdobe PDFThumbnail
View/Open
Show simple item record

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace