New machine learning models that predict the performance of seed varieties in particular conditions
Demonstrated a method for prediction of seed performance under different conditions to inform risk/productivity decision making in seed selection.
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122958 |
| _version_ | 1855526506504126464 |
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| author | CGIAR Platform for Big Data in Agriculture |
| author_browse | CGIAR Platform for Big Data in Agriculture |
| author_facet | CGIAR Platform for Big Data in Agriculture |
| author_sort | CGIAR Platform for Big Data in Agriculture |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Demonstrated a method for prediction of seed performance under different conditions to inform risk/productivity decision making in seed selection. |
| format | Informe técnico |
| id | CGSpace122958 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1229582023-03-14T12:00:03Z New machine learning models that predict the performance of seed varieties in particular conditions CGIAR Platform for Big Data in Agriculture models productivity varieties decision making seed development selection rural development learning risk systems agrifood systems machine learning prediction seed development Demonstrated a method for prediction of seed performance under different conditions to inform risk/productivity decision making in seed selection. 2019-12-31 2022-10-06T14:14:51Z 2022-10-06T14:14:51Z Report https://hdl.handle.net/10568/122958 en Open Access application/pdf CGIAR Platform for Big Data in Agriculture. 2019. New machine learning models that predict the performance of seed varieties in particular conditions. Reported in Platform for Big Data in Agriculture Annual Report 2019. Innovations. |
| spellingShingle | models productivity varieties decision making seed development selection rural development learning risk systems agrifood systems machine learning prediction seed development CGIAR Platform for Big Data in Agriculture New machine learning models that predict the performance of seed varieties in particular conditions |
| title | New machine learning models that predict the performance of seed varieties in particular conditions |
| title_full | New machine learning models that predict the performance of seed varieties in particular conditions |
| title_fullStr | New machine learning models that predict the performance of seed varieties in particular conditions |
| title_full_unstemmed | New machine learning models that predict the performance of seed varieties in particular conditions |
| title_short | New machine learning models that predict the performance of seed varieties in particular conditions |
| title_sort | new machine learning models that predict the performance of seed varieties in particular conditions |
| topic | models productivity varieties decision making seed development selection rural development learning risk systems agrifood systems machine learning prediction seed development |
| url | https://hdl.handle.net/10568/122958 |
| work_keys_str_mv | AT cgiarplatformforbigdatainagriculture newmachinelearningmodelsthatpredicttheperformanceofseedvarietiesinparticularconditions |