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