Strategies for Integrating Artificial Intelligence Based Innovations in Agricultural Education for Students’ Participation in Food Production in Rivers State.

Abstract

The study investigated strategies for integrating Artificial Intelligence (AI)–based innovations into agricultural education to enhance students’ participation in food production in Rivers State, Nigeria. The study was guided by three objectives, three research questions, three hypotheses. A descriptive survey research design was adopted. The population of the study was 500 (400 secondary school students, 100 tertiary students,50 farmers and Agricultural entrepreneurs) a sample size of 445 was drawn from the population using stratified random sampling technique to select respondents. Data were collected using experts –validated self- structured questionnaire designed Titled ‘’Agricultural Education and AI Integration Assessment Questionnaire (AEAIAQ) in a 4-point rating scale of high extent, the reliability of the instrument was established using Cronbach Alpha Reliability coefficient method which yielded a reliability index of 0.87. Data were analyzed using descriptive statistics, mean and standard deviation to answer research questions, and Z-test was used to test the hypotheses at a 0.05 level of significance. Findings revealed that AI technologies such as precision farming tools, smart irrigation systems, Artificial Intelligence-driven pest detection, and virtual/augmented reality simulations are viable for enhancing agricultural education. AI-based teaching methods significantly improved students’ engagement, problem-solving abilities, and food production participation. However, challenges such as inadequate infrastructure, and poor internet connectivity hinder implementation. The study concluded that integrating Artificial Intelligence in agricultural education has transformative potential for developing skilled, technology-savvy agricultural practitioners. The study therefore recommended curriculum integration of Artificial Intelligence concepts, infrastructural investment, public–private partnerships, and pilot Artificial Intelligence farm projects in schools to sustain innovation-driven food production.