The path to smart farming: Profiling farmers' adoption of technologies in Türkiye
This study investigates the characteristics associated with the adoption of smart farming technologies in Turkish agriculture. By surveying 325 farmers across six regions in Türkiye, the research identifies key attributes influencing adoption patterns. Four distinct profiles emerge: technology users...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2025-05-01
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| Series: | Agricultural Economics (AGRICECON) |
| Subjects: | |
| Online Access: | https://agricecon.agriculturejournals.cz/artkey/age-202505-0001_the-path-to-smart-farming-profiling-farmers-adoption-of-technologies-in-t-rkiye.php |
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| author | Huseyin Tayyar Guldal Hasan Sanli Metin Turker |
| author_facet | Huseyin Tayyar Guldal Hasan Sanli Metin Turker |
| author_sort | Huseyin Tayyar Guldal |
| collection | DOAJ |
| description | This study investigates the characteristics associated with the adoption of smart farming technologies in Turkish agriculture. By surveying 325 farmers across six regions in Türkiye, the research identifies key attributes influencing adoption patterns. Four distinct profiles emerge: technology users, non-users, young educated female farmers, and traditionalists. Exploratory findings from Multiple Correspondence Analysis (MCA) indicate that attributes such as agricultural insurance, credit utilisation, knowledge of smart farming systems, and tractor ownership are commonly observed among technology users. Ordinal logistic regression further quantifies these associations, highlighting the significant role of financial accessibility and knowledge dissemination in shaping adoption likelihoods. Non-users, on the other hand, are characterised by smaller landholdings, lack of credit use, limited awareness, and absence of tractor ownership, reflecting structural barriers to adoption. Tailored financial solutions and shared machinery parks could help address these challenges. Empowering young, educated women farmers, identified as a key demographic for innovation, offers an opportunity to catalyse broader technology adoption. By addressing knowledge gaps and fostering inclusive policies, this study provides actionable insights to accelerate the technological transformation and sustainability of Türkiye's agricultural sector. |
| format | Article |
| id | doaj-art-22efee6cacf540d19b5e11c8cf32d612 |
| institution | OA Journals |
| issn | 0139-570X 1805-9295 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Agricultural Economics (AGRICECON) |
| spelling | doaj-art-22efee6cacf540d19b5e11c8cf32d6122025-08-20T02:17:09ZengCzech Academy of Agricultural SciencesAgricultural Economics (AGRICECON)0139-570X1805-92952025-05-0171522924110.17221/401/2023-AGRICECONage-202505-0001The path to smart farming: Profiling farmers' adoption of technologies in TürkiyeHuseyin Tayyar Guldal0Hasan Sanli1https://orcid.org/0000-0003-3077-7710Metin Turker2https://orcid.org/0000-0002-5488-0918Department of Agricultural Economics, Ankara University, Ankara, TürkiyeGeneral Directorate of Agricultural Reform, Ministry of Agriculture and Forestry, Ankara, TürkiyeGeneral Directorate of Agricultural Reform, Ministry of Agriculture and Forestry, Ankara, TürkiyeThis study investigates the characteristics associated with the adoption of smart farming technologies in Turkish agriculture. By surveying 325 farmers across six regions in Türkiye, the research identifies key attributes influencing adoption patterns. Four distinct profiles emerge: technology users, non-users, young educated female farmers, and traditionalists. Exploratory findings from Multiple Correspondence Analysis (MCA) indicate that attributes such as agricultural insurance, credit utilisation, knowledge of smart farming systems, and tractor ownership are commonly observed among technology users. Ordinal logistic regression further quantifies these associations, highlighting the significant role of financial accessibility and knowledge dissemination in shaping adoption likelihoods. Non-users, on the other hand, are characterised by smaller landholdings, lack of credit use, limited awareness, and absence of tractor ownership, reflecting structural barriers to adoption. Tailored financial solutions and shared machinery parks could help address these challenges. Empowering young, educated women farmers, identified as a key demographic for innovation, offers an opportunity to catalyse broader technology adoption. By addressing knowledge gaps and fostering inclusive policies, this study provides actionable insights to accelerate the technological transformation and sustainability of Türkiye's agricultural sector.https://agricecon.agriculturejournals.cz/artkey/age-202505-0001_the-path-to-smart-farming-profiling-farmers-adoption-of-technologies-in-t-rkiye.phpagriculture 4.0sustainabilityinnovationtechnology adoption |
| spellingShingle | Huseyin Tayyar Guldal Hasan Sanli Metin Turker The path to smart farming: Profiling farmers' adoption of technologies in Türkiye Agricultural Economics (AGRICECON) agriculture 4.0 sustainability innovation technology adoption |
| title | The path to smart farming: Profiling farmers' adoption of technologies in Türkiye |
| title_full | The path to smart farming: Profiling farmers' adoption of technologies in Türkiye |
| title_fullStr | The path to smart farming: Profiling farmers' adoption of technologies in Türkiye |
| title_full_unstemmed | The path to smart farming: Profiling farmers' adoption of technologies in Türkiye |
| title_short | The path to smart farming: Profiling farmers' adoption of technologies in Türkiye |
| title_sort | path to smart farming profiling farmers adoption of technologies in turkiye |
| topic | agriculture 4.0 sustainability innovation technology adoption |
| url | https://agricecon.agriculturejournals.cz/artkey/age-202505-0001_the-path-to-smart-farming-profiling-farmers-adoption-of-technologies-in-t-rkiye.php |
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