Published Article

ABSTRACT

The study sought to examine the adoption of AI in agricultural activities, studying the prospects and challenges encountered by the farmers and teachers in Akwa Ibom State. To carry out the study, descriptive survey design was adopted. The study was carried out in Akwa Ibom State. The targeted population for the study comprised of all the farmers and teachers in Akwa Ibom state. A stratified random sampling technique was used to select a total of 60 teachers and 30 farmers, this gave a total of 90 respondents, which formed the sample size for this study. The instrument used for data collection was a structured questionnaire titled “AI and Agriculture Activities Questionnaire (AAAQ). Face and content validation of the instrument was carried out by an expert in test, measurement, and evaluation in order to ensure that the instrument has the accuracy, appropriateness, and completeness for the study under consideration. The reliability coefficient obtained was 0.83, and this was high enough to justify the use of the instrument. The researcher subjected the data generated for this study to appropriate statistical technique such descriptive statistics to answer research questions. This study concluded that AI helps in precision farming by analyzing soil data, weather, and crop conditions. This allows farmers to use the right amount of water, fertilizer, and pesticide only where needed. The study also recommended that governments, NGOs, and agricultural institutions should invest in training programs to improve digital literacy and teach farmers how to use AI-based systems, such as precision farming tools and crop monitoring platforms.