Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research
Farm typologies are often used to reduce the complexity in categorising diverse farming systems, particularly in sub-Saharan Africa. The resulting typologies can then be used in multiple ways including designing efficient sampling schemes that capture the diversity in smallholder farms, prescribing...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/132637 |
| _version_ | 1855521495915167744 |
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| author | Hassall, Kirsty L. Baudron, Frédéric MacLaren, Chloe Cairns, Jill E. Thokozile Ndhlela McGrath, Steve P. Nyagumbo, Isaiah Haefele, Stephan M. |
| author_browse | Baudron, Frédéric Cairns, Jill E. Haefele, Stephan M. Hassall, Kirsty L. MacLaren, Chloe McGrath, Steve P. Nyagumbo, Isaiah Thokozile Ndhlela |
| author_facet | Hassall, Kirsty L. Baudron, Frédéric MacLaren, Chloe Cairns, Jill E. Thokozile Ndhlela McGrath, Steve P. Nyagumbo, Isaiah Haefele, Stephan M. |
| author_sort | Hassall, Kirsty L. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Farm typologies are often used to reduce the complexity in categorising diverse farming systems, particularly in sub-Saharan Africa. The resulting typologies can then be used in multiple ways including designing efficient sampling schemes that capture the diversity in smallholder farms, prescribing the selection of certain farm types to which interventions can be targeted or upscaled, or to give context into derived relationships. However, the construction of farm typologies consists of many subjective decisions that are not always obvious or evident to the end-user. By developing a generalized framework for constructing farm typologies, we clarify where these subjective decisions are and quantify the impact they have on the resulting typologies. Further, this framework has been encapsulated in the open source RShiny App: TypologyGenerator to enable users to focus on the decisions and not the underlying implementation. |
| format | Journal Article |
| id | CGSpace132637 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1326372025-11-06T13:04:30Z Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research Hassall, Kirsty L. Baudron, Frédéric MacLaren, Chloe Cairns, Jill E. Thokozile Ndhlela McGrath, Steve P. Nyagumbo, Isaiah Haefele, Stephan M. agriculture farms typology farming systems Farm typologies are often used to reduce the complexity in categorising diverse farming systems, particularly in sub-Saharan Africa. The resulting typologies can then be used in multiple ways including designing efficient sampling schemes that capture the diversity in smallholder farms, prescribing the selection of certain farm types to which interventions can be targeted or upscaled, or to give context into derived relationships. However, the construction of farm typologies consists of many subjective decisions that are not always obvious or evident to the end-user. By developing a generalized framework for constructing farm typologies, we clarify where these subjective decisions are and quantify the impact they have on the resulting typologies. Further, this framework has been encapsulated in the open source RShiny App: TypologyGenerator to enable users to focus on the decisions and not the underlying implementation. 2023-09 2023-11-01T15:41:29Z 2023-11-01T15:41:29Z Journal Article https://hdl.handle.net/10568/132637 en Open Access application/pdf Elsevier Hassall, K. L., Baudron, F., MacLaren, C., Cairns, J. E., Ndhlela, T., McGrath, S. P., Nyagumbo, I., & Haefele, S. M. (2023). Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research. Computers and Electronics in Agriculture, 212, 108074. https://doi.org/10.1016/j.compag.2023.108074 |
| spellingShingle | agriculture farms typology farming systems Hassall, Kirsty L. Baudron, Frédéric MacLaren, Chloe Cairns, Jill E. Thokozile Ndhlela McGrath, Steve P. Nyagumbo, Isaiah Haefele, Stephan M. Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research |
| title | Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research |
| title_full | Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research |
| title_fullStr | Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research |
| title_full_unstemmed | Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research |
| title_short | Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research |
| title_sort | construction of a generalised farm typology to aid selection targeting and scaling of onfarm research |
| topic | agriculture farms typology farming systems |
| url | https://hdl.handle.net/10568/132637 |
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