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The study analyzed innovative technology transfer systems in agricultural sciences, assessing their impact on sector productivity and sustainability. A mixed-methods approach was employed, combining documentary review and analysis of successful cases in different geographical contexts. The results indicated that the adoption of new technologies was influenced by socioeconomic and governance factors, highlighting the importance of training and access to financing. It was identified that collaborative models among academia, industry, and rural communities facilitated the implementation of innovations. It was concluded that effective technology transfer systems require a comprehensive strategy that considers the particularities of each region, promoting the active participation of the involved stakeholders.
| Código institucional | PROD-2026-0078 |
| DOI | 10.56294/mr2024.130 ↗ |
| ISSN | 2953-4577 |
| Revista | Metaverse Basic and Applied Research |
| Idioma | EN |
| URL oficial | https://mr.ageditor.ar/index.php/mr/article/view/130 ↗ |
| Licencia | CC-BY-NC-SA OPEN ACCESS |
| Grupo(s) | Advanced Studies in Business & Economic Sciences (ABS-ES) Hub (COL0237088) |
| Línea de investigación | Economía Sostenible |
| Programa | Economía |
| Área OCDE | Ciencias Sociales · Economía y negocios |
| URI Minerva | https://redsummaeducation.education/minerva/item/79 |
Dustin Tahisin Gómez Rodríguez, Jose Vicente Barreto Hernández (2024). Innovative technology transfers systems in agricultural sciences: social networks and algorithms. Metaverse Basic and Applied Research. https://doi.org/10.56294/mr2024.130
@article{DustinTahisinGmezRodrguez2024,
title = {Innovative technology transfers systems in agricultural sciences: social networks and algorithms},
author = {Dustin Tahisin Gómez Rodríguez and Jose Vicente Barreto Hernández},
year = {2024},
journal = {Metaverse Basic and Applied Research},
issn = {2953-4577},
doi = {10.56294/mr2024.130},
url = {https://redsummaeducation.education/minerva/item/79}
}