Ensemble machine learning prediction of drivers affecting rice and wheat yield, greenhouse gas emissions, and yield-scaled emissions in Bangladesh
| cg.contributor.crp | Climate Change, Agriculture and Food Security | |
| cg.coverage.country | Bangladesh | |
| cg.coverage.iso3166-alpha2 | BD | |
| cg.coverage.region | Southern Asia | |
| cg.number | IN-1112 | |
| dc.contributor.author | CGIAR Research Program on Climate Change, Agriculture and Food Security | |
| dc.date.accessioned | 2022-10-06T14:17:25Z | en |
| dc.date.available | 2022-10-06T14:17:25Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/123019 | |
| dc.title | Ensemble machine learning prediction of drivers affecting rice and wheat yield, greenhouse gas emissions, and yield-scaled emissions in Bangladesh | en |
| dcterms.abstract | Although very preliminary, to our knowledge, this is the first attempt at ensemble machine learning applied to agricultural research and the analysis of 'big data' from farms. In addition, methods have been developed in R to graphically explore the relationships between drivers and predicted outcomes using partial dependency plots. | en |
| dcterms.accessRights | Open Access | |
| dcterms.bibliographicCitation | CGIAR Research Program on Climate Change, Agriculture and Food Security. 2019. Ensemble machine learning prediction of drivers affecting rice and wheat yield, greenhouse gas emissions, and yield-scaled emissions in Bangladesh. Reported in Climate Change, Agriculture and Food Security Annual Report 2019. Innovations. | en |
| dcterms.isPartOf | CRP Innovation | en |
| dcterms.issued | 2019-12-31 | |
| dcterms.language | en | |
| dcterms.license | Other | |
| dcterms.subject | research | en |
| dcterms.subject | rice | en |
| dcterms.subject | agricultural research | en |
| dcterms.subject | development | en |
| dcterms.subject | rural development | en |
| dcterms.subject | methods | en |
| dcterms.subject | data | en |
| dcterms.subject | wheat | en |
| dcterms.subject | analysis | en |
| dcterms.subject | learning | en |
| dcterms.subject | greenhouse gas emissions | en |
| dcterms.subject | farms | en |
| dcterms.subject | systems | en |
| dcterms.subject | knowledge | en |
| dcterms.subject | agrifood systems | en |
| dcterms.subject | machine learning | en |
| dcterms.subject | gas emissions | en |
| dcterms.subject | prediction | en |
| dcterms.subject | plots | en |
| dcterms.type | Report |
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