Theoretical Foundations for Assessing Self-Driving Tractors Among Kenyan Smallholder Wheat Farmers: An Impact Analysis on Yields
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2012
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| _version_ | 1866901274527531008 |
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| author | Ngugi, Omondi Ogot, Njoroge Wanjiku, Timbuku Muthoni, Kanju |
| author_facet | Ngugi, Omondi Ogot, Njoroge Wanjiku, Timbuku Muthoni, Kanju |
| contents | <p>Self-driving tractors are increasingly adopted by smallholder farmers in Kenyan wheat cultivation regions to enhance productivity and efficiency. Theoretical analysis will be employed to develop a comprehensive model that considers factors such as tractor technology characteristics, farmer training programmes, and post-adoption support systems. The theoretical framework proposed provides a solid foundation for understanding how technology adoption can be harnessed to boost smallholder farming efficiency, particularly in contexts where traditional methods are labour-intensive and yield-restricted. Further empirical research should validate these theoretical insights by monitoring the long-term impacts of self-driving tractors on both productivity and sustainability across different wheat cultivation regions in Kenya.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18945580 |
| institution | Zenodo |
| language | eng |
| publishDate | 2012 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Theoretical Foundations for Assessing Self-Driving Tractors Among Kenyan Smallholder Wheat Farmers: An Impact Analysis on Yields Ngugi, Omondi Ogot, Njoroge Wanjiku, Timbuku Muthoni, Kanju Kenya Geospatial Analysis Participatory Research GIS Precision Agriculture <p>Self-driving tractors are increasingly adopted by smallholder farmers in Kenyan wheat cultivation regions to enhance productivity and efficiency. Theoretical analysis will be employed to develop a comprehensive model that considers factors such as tractor technology characteristics, farmer training programmes, and post-adoption support systems. The theoretical framework proposed provides a solid foundation for understanding how technology adoption can be harnessed to boost smallholder farming efficiency, particularly in contexts where traditional methods are labour-intensive and yield-restricted. Further empirical research should validate these theoretical insights by monitoring the long-term impacts of self-driving tractors on both productivity and sustainability across different wheat cultivation regions in Kenya.</p> |
| title | Theoretical Foundations for Assessing Self-Driving Tractors Among Kenyan Smallholder Wheat Farmers: An Impact Analysis on Yields |
| topic | Kenya Geospatial Analysis Participatory Research GIS Precision Agriculture |
| url | https://doi.org/10.5281/zenodo.18945580 |