MASSAI: Multi-agent system for simulating sustainable agricultural intensification of smallholder farms in Africa

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cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationUniversity of Bonnen
cg.contributor.affiliationInternational Center for Agricultural Research in the Dry Areasen
cg.contributor.affiliationMichigan State Universityen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationUniversity of Bonn, Center for Development Researchen
cg.contributor.affiliationNew Zealand Forest Research Institute Limiteden
cg.contributor.crpDryland Systems
cg.contributor.crpGrain Legumes and Dryland Cereals
cg.contributor.donorCGIAR Trust Funden
cg.contributor.donorDeutscher Akademischer Austauschdiensten
cg.contributor.initiativeMixed Farming Systems
cg.coverage.countryMalawi
cg.coverage.iso3166-alpha2MW
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierPowell Mponela: 0000-0003-4269-0663
cg.creator.identifierLifeng Bao: 0000-0002-7860-888X
cg.creator.identifierSieglinde Snapp: 0000-0002-9738-0649
cg.creator.identifierGrace B. Villamor: 0000-0003-1532-9004
cg.creator.identifierLulseged Tamene: 0000-0002-4846-2330
cg.creator.identifierChristian Borgemeister: 0000-0001-8067-0335
cg.identifier.dataurlhttps://github.com/powellmponel/MASSAIen
cg.identifier.doihttps://doi.org/10.1016/j.mex.2023.102467en
cg.isijournalISI Journalen
cg.issn2215-0161en
cg.journalMethodsXen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.alliancebiovciatFARMING SYSTEMSen
cg.subject.alliancebiovciatMODELINGen
cg.subject.alliancebiovciatPOLICYen
cg.subject.alliancebiovciatSOIL HEALTHen
cg.subject.alliancebiovciatSUSTAINABILITYen
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
cg.subject.sdgSDG 1 - No povertyen
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 3 - Good health and well-beingen
cg.subject.sdgSDG 12 - Responsible consumption and productionen
cg.subject.sdgSDG 15 - Life on landen
cg.volume11en
dc.contributor.authorMponela, Powellen
dc.contributor.authorLe, Quang Baoen
dc.contributor.authorSnapp, Sieglindeen
dc.contributor.authorVillamor, Grace B.en
dc.contributor.authorTamene, Lulseged D.en
dc.contributor.authorBorgemeister, Christianen
dc.date.accessioned2023-11-09T14:55:19Zen
dc.date.available2023-11-09T14:55:19Zen
dc.identifier.urihttps://hdl.handle.net/10568/132879
dc.titleMASSAI: Multi-agent system for simulating sustainable agricultural intensification of smallholder farms in Africaen
dcterms.abstractThe research and development needed to achieve sustainability of African smallholder agricultural and natural systems has led to a wide array of theoretical frameworks for conceptualising socioecological processes and functions. However, there are few analytical tools for spatio-temporal empirical approaches to implement use cases, which is a prerequisite to understand the performance of smallholder farms in the real world. This study builds a multi-agent system (MAS) to operationalise the Sustainable Agricultural Intensification (SAI) theoretical framework (MASSAI). This is an essential tool for spatio-temporal simulation of farm productivity to evaluate sustainability trends into the future at fine scale of a managed plot. MASSAI evaluates dynamic nutrient transfer using smallholder nutrient monitoring functions which have been calibrated with parameters from Malawi and the region. It integrates two modules: the Environmental (EM) and Behavioural (BM) ones. • The EM assess dynamic natural nutrient inputs (sedimentation and atmospheric deposition) and outputs (leaching, erosion and gaseous loses) as a product of bioclimatic factors and land use activities. • An integrated BM assess the impact of farmer decisions which influence farm-level inputs (fertilizer, manure, biological N fixation) and outputs (crop yields and associated grain). • A use case of input subsidies, common in Africa, markedly influence fertilizer access and the impact of different policy scenarios on decision-making, crop productivity, and nutrient balance are simulated. This is of use for empirical analysis smallholder's sustainability trajectories given the pro-poor development policy support.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2023-10-30
dcterms.bibliographicCitationMponela, P., Le, Q. B., Snapp, S., Villamor, G. B., Tamene, L., & Borgemeister, C. (2023). MASSAI: Multi-agent system for simulating sustainable agricultural intensification of smallholder farms in Africa. In MethodsX (Vol. 11, p. 102467). Elsevier BV. https://doi.org/10.1016/j.mex.2023.102467en
dcterms.extent102467en
dcterms.issued2023-12
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevieren
dcterms.replaceshttps://hdl.handle.net/10568/134580en
dcterms.subjectsustainabilityen
dcterms.subjectproductivityen
dcterms.subjectsimulation modelsen
dcterms.subjectsubsidiesen
dcterms.subjectnutrient balanceen
dcterms.subjectbehavioural responsesen
dcterms.subjectagent-based modelsen
dcterms.subjectmulti-agent systemsen
dcterms.subjectmaizeen
dcterms.subjectfarm productivityen
dcterms.subjectre-orienting farm input subsidyen
dcterms.subjectfarmer behaviouren
dcterms.typeJournal Article

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