Sermuksnyte-Alesiuniene K., Ispiryan A. (2026). The impact of digital technology on sustainable agriculture and bioeconomy. Frontiers in Sustainable Food Systems, 01/01/2026, vol. 10, p. 1655881.
https://doi.org/10.3389/fsufs.2026.1655881
https://doi.org/10.3389/fsufs.2026.1655881
| Titre : | The impact of digital technology on sustainable agriculture and bioeconomy (2026) |
| Auteurs : | K. Sermuksnyte-Alesiuniene ; A. Ispiryan |
| Type de document : | Article |
| Dans : | Frontiers in Sustainable Food Systems (vol. 10, 2026) |
| Article en page(s) : | p. 1655881 |
| Langues : | Anglais |
| Langues du résumé : | Anglais |
| Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.6 - Technique Agricole (sols, engrais, mécanisation)Thésaurus IAMM NOUVELLE TECHNOLOGIE ; EVALUATION DE L'IMPACT ; DURABILITE ; AGRICULTURE ; TECHNOLOGIE DE L'INFORMATION ET DE LA COMMUNICATION |
| Résumé : | Introduction The study addresses the critical challenge of uneven digital technology adoption and its varied impact on sustainability in the agricultural sector globally. It investigates how digital technologies can be leveraged to enhance key sustainability metrics, including renewable energy integration and resource efficiency, within the bioeconomy framework. Focusing on the integration of digital tools and their efficacy in enhancing key sustainability metrics, this study aim to provide insights into how digital innovations can bolster sustainable agricultural practices across diverse environmental, regulatory, and socio-economic landscapes.Methods A mixed-methods research design was employed, combining quantitative analysis of sustainability indicators with qualitative assessment of regional socio-economic and infrastructural conditions. Empirical data were collected from multiple international regions and aggregated at the regional level. Correlation analysis and multivariable ordinary least squares regression models were applied to examine the relationship between digital technology adoption and sustainability outcomes, controlling for policy support, infrastructure availability, and economic context. Sensitivity analysis was conducted by systematically varying input parameters to assess the robustness of model results.Results and discussion Study results show that areas exhibiting elevated rates of technological adoption, including Europe and North America, exhibit significant advancements in sustainability metrics, such as enhanced integration of renewable energy sources and improved resource efficiency. In contrast, Asia and Africa exhibit modest improvements, which highlights the critical need for region-specific strategies to overcome infrastructural and adoption barriers. This study develops a model that quantifies the relationship between digital technology adoption and sustainability improvements across different agricultural contexts. Findings highlight the need for promoting technological parity to achieve holistic agricultural sustainability and leverage digital technologies for climate resilience, food security, and renewable energy use in agriculture. |
| Cote : | En ligne |
| URL / DOI : | https://doi.org/10.3389/fsufs.2026.1655881 |


