SOCIO-CULTURAL EFFECTS OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE BY FARMERS, EXTENSION AGENTS AND LECTURERS IN DELTA STATE, NIGERIA.
DOI:
https://doi.org/10.33003/jaat.2024.1003.02Keywords:
Artificial Intelligence,, Socio-cultural Effects,, Farmers, Extension Agents, Lecturers, Delta StateAbstract
The study assessed the socio-cultural effects of AI technologies in agriculture, based on the perceptions of farmers, extension agents, and lecturers in Delta State, Nigeria. A multi-stage random sampling technique was used to select 293 respondents, comprising 40% lecturers, 20% extension agents, and 5% farmers. Data were analysed using descriptive statistics, 4-point Likert scale, and Analysis of Variance (ANOVA). The results indicated significant variance in the level of awareness; lecturers at 90.9%, followed by extension agents at 94.1%, were more aware of these AI tools, including drones, than farmers (68.2%). Thereafter, the perception about AI technology in terms of sociocultural impact also differed among these groupings. Farmers were concerned that AI would change traditional practices extensively, which is at variance with the community norm, whereas the lecturers and extension agents perceived it as something positive that should happen. Results of ANOVA Post-hoc tests revealed that farmers' perceptions differed from those of lecturers with a mean difference of -1.830, p = 0.002, and extension agents with a mean difference of -1.574, p = 0.039. This study has therefore brought to the fore that interventions should be culturally sensitive in addressing farmers' concerns if AI adoption in agriculture is to be inclusive.
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