Terra-i+ Using machine learning to manage impacts of coffee production in Ocotepeque, Honduras

Terra-i+ Aprendizaje automatizado para gestionar los impactos de la producción de café en Ocotepeque, Honduras

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cg.contributor.affiliationBioversity International and the International Center for Tropical Agricultureen
cg.contributor.crpClimate Change, Agriculture and Food Securityen
cg.coverage.countryHondurasen
cg.coverage.iso3166-alpha2HNen
cg.coverage.regionMiddle Africaen
cg.coverage.regionLatin Americaen
cg.coverage.regionCentral Americaen
cg.identifier.projectCCAFS: PII-FP2_ValueChainsen
cg.subject.ccafsCLIMATE-SMART TECHNOLOGIES AND PRACTICESen
dc.contributor.authorAlliance of Bioversity International and CIATen
dc.date.accessioned2021-02-17T14:06:23Zen
dc.date.available2021-02-17T14:06:23Zen
dc.identifier.urihttps://hdl.handle.net/10568/111378
dc.titleTerra-i+ Using machine learning to manage impacts of coffee production in Ocotepeque, Hondurasen
dcterms.abstractThe report aims to address the needs of those involved in the environmental management of coffee production across Ocotepeque. We quantify the impact a series of drivers had on deforestation trends in the department, thus isolating coffee driven deforestation. Based on these key results, we identify forests that are under current and future risk of being replaced by coffee. Finally, we identify areas of concern for the coffee sector as well as opportunities arising from climate change.en
dcterms.accessRightsOpen Accessen
dcterms.alternativeTerra-i+ Aprendizaje automatizado para gestionar los impactos de la producción de café en Ocotepeque, Hondurasen
dcterms.bibliographicCitationAlliance of Bioversity International and CIAT. 2020. Terra-i+ Using machine learning to manage impacts of coffee production in Ocotepeque, Honduras. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).en
dcterms.extent23 p.en
dcterms.issued2020-09-01en
dcterms.languageenen
dcterms.languageesen
dcterms.licenseOtheren
dcterms.publisherCGIAR Research Program on Climate Change, Agriculture and Food Securityen
dcterms.subjectfood securityen
dcterms.subjectclimate changeen
dcterms.subjectagricultureen
dcterms.subjectmachine learningen
dcterms.typeReporten

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