Machine learning innovations for rapid assessments in wheat and rice systems in South Asia.
cg.contributor.crp | Wheat | |
cg.coverage.country | Bangladesh | |
cg.coverage.iso3166-alpha2 | BD | |
cg.coverage.region | Southern Asia | |
cg.number | IN-2025 | en |
dc.contributor.author | CGIAR Research Program on Wheat | en |
dc.date.accessioned | 2022-10-06T14:02:07Z | en |
dc.date.available | 2022-10-06T14:02:07Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/122589 | |
dc.title | Machine learning innovations for rapid assessments in wheat and rice systems in South Asia. | en |
dcterms.abstract | Data collection in Bangladesh and Nepal, through government agencies, has been reached. Data analysis is ongoing, with different advancements per country. | en |
dcterms.accessRights | Open Access | |
dcterms.bibliographicCitation | CGIAR Research Program on Wheat. 2020. Machine learning innovations for rapid assessments in wheat and rice systems in South Asia. Reported in Wheat Annual Report 2020. Innovations. | en |
dcterms.isPartOf | CRP Innovation | en |
dcterms.issued | 2020-12-31 | |
dcterms.language | en | |
dcterms.license | Other | |
dcterms.subject | rice | en |
dcterms.subject | development | en |
dcterms.subject | data collection | en |
dcterms.subject | rural development | en |
dcterms.subject | data | en |
dcterms.subject | wheat | en |
dcterms.subject | analysis | en |
dcterms.subject | data analysis | en |
dcterms.subject | learning | en |
dcterms.subject | government | en |
dcterms.subject | systems | en |
dcterms.subject | government agencies | en |
dcterms.subject | agrifood systems | en |
dcterms.subject | machine learning | en |
dcterms.subject | south asia | en |
dcterms.subject | collection | en |
dcterms.subject | asia | en |
dcterms.subject | agencies | en |
dcterms.type | Report |
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