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Attitudes of Agricultural Extension Workers towards the use of artificial intelligence in the extension systems in Sulaymaniyah Governorate | ||
| Kirkuk University Journal for Agricultural Sciences (KUJAS) | ||
| Volume 15, Issue 4, December 2024, Pages 186-192 PDF (317.72 K) | ||
| Document Type: Review Paper | ||
| DOI: 10.58928/ku24.15422 | ||
| Author | ||
| Dara Abdulrahman Salih* | ||
| Department of Agribusiness and Rural Development,Collage of Agricultural Sciences Engineering, University of Sulaymani, Sulaymaniyah, IRAQ | ||
| Abstract | ||
| Abstract The use of artificial intelligence is one of the innovations of this era in the field of Agricultural Extension Management and the improvement of its systems by agricultural extension workers, who have a major role in effectively implementing an extension action plan; therefore, it is important to understand the attitudes of extension workers towards the use of AI in extension systems as a main goal of this study, A questionnaire form was developed that includes data related to the respondents ' trends towards the use of artificial intelligence, and then it was distributed to the research community and 297 workers in Sulaymaniyah governorate، To select a research sample, a relatively random method was used, and their percentage was 3%, and the sample consisted of 99 workers in the study area.. The results showed that the majority of respondents ' attitudes towards the use of AI was natural degree tends to negative, while the result showed a correlation between the degree of usefulness of the respondents from smart technology sources and their trends, and the source of the smartphone ranked first in terms of use, which left a positive impact among other smart technology sources as well as the application of GIS came in last ranked In terms of Use and influence on the direction of respondents, As for the independent variables, the results showed a significant correlation between the respondents ' attitudes toward using artificial intelligence and the following variables: age, living status, number of hours worked, and participation in training courses. While there is no correlation between the directions of the respondents and the variables: gender and specialization. | ||
| Keywords | ||
| Attitudes; Agricultural extension workers; Artificial Intelligence (AI); Extension Systems; smart technology sources | ||
| References | ||
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