A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda
cg.authorship.types | CGIAR single centre | en |
cg.contributor.affiliation | International Potato Center | en |
cg.contributor.initiative | Seed Equal | |
cg.coverage.country | Uganda | |
cg.coverage.iso3166-alpha2 | UG | |
cg.creator.identifier | S.Rajendran: 0000-0003-2769-2548 | en |
cg.subject.actionArea | Resilient Agrifood Systems | |
cg.subject.actionArea | Genetic Innovation | |
cg.subject.cip | SWEETPOTATOES | en |
cg.subject.cip | CROP AND SYSTEMS SCIENCES CSS | en |
cg.subject.cip | CLIMATE-SMART AGRICULTURE | en |
cg.subject.cip | FOOD SECURITY | en |
cg.subject.cip | BIGDATA | en |
cg.subject.impactArea | Climate adaptation and mitigation | |
cg.subject.impactArea | Nutrition, health and food security | |
cg.subject.sdg | SDG 2 - Zero hunger | en |
cg.subject.sdg | SDG 12 - Responsible consumption and production | en |
cg.subject.sdg | SDG 13 - Climate action | en |
cg.subject.sdg | SDG 9 - Industry, innovation and infrastructure | en |
cg.subject.sdg | SDG 1 - No poverty | en |
dc.contributor.author | Rajendran, S. | en |
dc.date.accessioned | 2025-02-03T16:39:04Z | en |
dc.date.available | 2025-02-03T16:39:04Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/172746 | |
dc.title | A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda | en |
dcterms.accessRights | Open Access | |
dcterms.audience | Academics | en |
dcterms.audience | CGIAR | en |
dcterms.audience | Development Practitioners | en |
dcterms.audience | Donors | en |
dcterms.audience | Extension | en |
dcterms.audience | Farmers | en |
dcterms.audience | General Public | en |
dcterms.audience | NGOs | en |
dcterms.audience | Policy Makers | en |
dcterms.audience | Scientists | en |
dcterms.bibliographicCitation | Rajendran, S. 2024. A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda. International Potato Center. | en |
dcterms.extent | 5 p. | en |
dcterms.issued | 2024-12 | en |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.subject | machine learning | en |
dcterms.subject | sweet potatoes | en |
dcterms.subject | seed systems | en |
dcterms.subject | climate-smart agriculture | en |
dcterms.type | Brief |