A scalable scheme to implement data-driven agriculture for small-scale farmers

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cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.crpBig Data
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.coverage.countryColombia
cg.coverage.iso3166-alpha2CO
cg.coverage.regionLatin America
cg.coverage.regionSouth America
cg.creator.identifierDaniel Jiménez: 0000-0003-4218-4306en
cg.creator.identifierSylvain Delerce: 0000-0003-2451-3604en
cg.creator.identifierAndy Jarvis: 0000-0001-6543-0798en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1016/j.gfs.2019.08.004en
cg.identifier.projectCCAFS: PII-LAM_ASACDIGITALen
cg.isijournalISI Journalen
cg.issn2211-9124en
cg.journalGlobal Food Securityen
cg.reviewStatusPeer Reviewen
cg.volume23en
dc.contributor.authorJiménez, Danielen
dc.contributor.authorDelerce, Sylvain Jeanen
dc.contributor.authorDorado, Hugo Andresen
dc.contributor.authorCock, James H.en
dc.contributor.authorMuñoz, Luis Armandoen
dc.contributor.authorAgamez, Alejandroen
dc.contributor.authorJarvis, Andyen
dc.date.accessioned2019-09-11T19:26:03Zen
dc.date.available2019-09-11T19:26:03Zen
dc.identifier.urihttps://hdl.handle.net/10568/103626
dc.titleA scalable scheme to implement data-driven agriculture for small-scale farmersen
dcterms.abstractThe Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers. This knowledge was then used to provide guidelines on management practices likely to produce high, stable yields. The effectiveness of the practices was confirmed in on-farm trials. The principles established can be applied to rainfed crops produced by small-scale farmers to better manage their crops with less risk of failure.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationJiménez, Daniel; Delerce, Sylvain; Dorado, Hugo; Cock, James ; Muñoz, Luis Armando ; Agamez, Alejandro & Jarvis, Andy (2019). A scalable scheme to implement data-driven agriculture for small-scale farmers. Global Food Security. 23: 256-266en
dcterms.extentp. 256-266en
dcterms.issued2019-12en
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.publisherElsevieren
dcterms.subjectagricultureen
dcterms.subjectdataen
dcterms.subjectmachine learningen
dcterms.subjectaprendizaje electrónicoen
dcterms.subjectcolombiaen
dcterms.subjectsmall scale farmingen
dcterms.subjectpequeñas explotacionesen
dcterms.typeJournal Article

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