A novel integrated computational approach for agroecological similarity

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cg.authorship.typesCGIAR and developing country instituteen
cg.authorship.typesCGIAR multi-centreen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationAfrican Unionen
cg.contributor.affiliationUniversity of KwaZulu-Natalen
cg.contributor.affiliationUniversity of Dschangen
cg.contributor.affiliationInternational Centre of Insect Physiology and Ecologyen
cg.contributor.affiliationUniversity of Pretoriaen
cg.contributor.donorWorld Banken
cg.coverage.regionAfrica
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierFranck B.N. Tonle: 0000-0003-3682-774Xen
cg.creator.identifierHenri TONNANG: 0000-0002-9424-9186en
cg.creator.identifierMilliam Maxime Zekeng Ndadji: 0000-0002-0417-5591en
cg.creator.identifierMaurice Tchoupé Tchendji: 0000-0002-9208-6838en
cg.creator.identifierSaliou Niassy: 0000-0002-7251-2051en
cg.identifier.doihttps://doi.org/10.1016/j.envsoft.2025.106494en
cg.isijournalISI Journalen
cg.issn1364-8152en
cg.journalEnvironmental Modelling & Softwareen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.alliancebiovciatAGRICULTUREen
cg.subject.alliancebiovciatCLIMATE CHANGEen
cg.subject.alliancebiovciatMODELINGen
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 13 - Climate actionen
cg.volume191en
dc.contributor.authorTonle, Franck B.N.en
dc.contributor.authorTonnang, Henri E.Z.en
dc.contributor.authorNdadji, Milliam M.Z.en
dc.contributor.authorTchendji, Maurice T.en
dc.contributor.authorNzeukou, Armanden
dc.contributor.authorNiassy, Saliouen
dc.date.accessioned2025-06-04T12:29:38Z
dc.date.available2025-06-04T12:29:38Z
dc.identifier.urihttps://hdl.handle.net/10568/174963
dc.titleA novel integrated computational approach for agroecological similarityen
dcterms.abstractAssessing agroecological similarity is crucial for shaping sustainable agricultural practices and resource allocation, especially in regions undergoing rapid environmental changes. Current evaluation methods face challenges such as managing large datasets, adjusting for temporal variations across locations, and the need for accessible, comprehensive analytical tools. Addressing these challenges, this paper presents the Agroecology Fourier-based Similarity Assessment (AFSA), an innovative computational approach that applies principles of the Fourier transform to systematically evaluate similarities among agroecological sites. To enhance usability, AFSA is complemented by webafsa, a user-friendly web application designed for researchers and policymakers, emphasizing ease of use and broad applicability. The implementation of AFSA and webafsa aims to improve land suitability assessments, enhance decision-making for resource allocation, and support better adaptation strategies for sustainable agriculture. By offering both a sophisticated computational methodology and an accessible decision-support tool, this study paves the way for more informed and environmentally considerate agricultural practices.en
dcterms.accessRightsOpen Access
dcterms.available2025-05-09
dcterms.bibliographicCitationTonle, F.B.; Tonnang, H.E.; Ndadji, M.M.; Tchendji, M.T.; Nzeukou, A.; Niassy, S. (2025) A novel integrated computational approach for agroecological similarity. Environmental Modelling & Software 191: 106494. ISSN: 1364-8152en
dcterms.extent106494en
dcterms.issued2025-05-15en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevier BVen
dcterms.subjectclimate changeen
dcterms.subjectagroecologyen
dcterms.subjectmodellingen
dcterms.subjectland suitabilityen
dcterms.subjectdecision-support systems-decision support toolsen
dcterms.typeJournal Article

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