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Browsing by Author "Sadunishvili, Nata"

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  • The role of artificial intelligence in agribusiness: opportunities and challenges in Georgia
    Publication . Sadunishvili, Nata; Fernandes, Paula O.; Mamulaidze, Tamta
    As the world's population continues to grow, environmental challenges become more pressing, the agribusiness sector, which includes all operations related to producing and distributing food, plays a crucial role in addressing climate change, resource scarcity, and sustainability. The research focuses on Georgia, a nation with a rich agricultural history and immense potential, aiming to analyse the role of artificial intelligence (AI) and agricultural technologies in the agroindustry. To accomplish this objective, a quantitative research methodology was utilised by gathering farmers’ opinions regarding the implementation of AI in their businesses. Additionally, measuring farmers' attitudes towards AI and agricultural technologies was the main element in determining the significance of these technologies in the agribusiness sector of Georgia. Based on theoretical and empirical research in this field, the study evaluates the role of AI in agribusiness, assesses how agricultural technologies affects production, and the benefits and methods of utilizing AI. Furthermore, the research explores Georgia’s opportunities and challenges in advancing AI and agricultural technologies within the agribusiness sector. According to the research and the obtained results, one of the significant obstacles faced by farmers in adopting modern agricultural technologies and AI applications is their lack of skills and knowledge in using them. Despite not having technological skills, the assessments’ findings indicate that most respondents hold positive attitudes towards the impact of AI applications and modern technologies on production yield and the realisation process in agribusiness. Moreover, the research highlights the importance of considering gender differences when examining farmers' attitudes towards agricultural technologies. Results provide evidence that there are significant differences in the attitude towards agricultural technologies based on the age of farmers, younger farmers display a more positive attitude towards embracing AI and agricultural technologies. Furthermore, the educational level of farmers influences their perception of the importance of AI and agricultural technologies. Finally, this thesis aims to contribute to the development of a sustainable and prosperous agro-industrial sector in Georgia by reinforcing the adoption of AI and agricultural technologies.
    2024Master thesis Open access Show more