https://www.gphjournal.org/index.php/ar <p style="font-family: 'Segoe UI', sans-serif; font-size: 16px; color: #333;"><strong>GPH-International Journal of Agriculture and Research (e-ISSN&nbsp;<a href="https://portal.issn.org/resource/ISSN/3050-9602" target="_blank" rel="noopener">3050-9602</a>) </strong>is a peer-reviewed, open-access journal dedicated to advancing agricultural science and practice. The journal publishes original research, comprehensive reviews, and case studies on topics such as crop science, sustainable farming practices, agricultural economics, agri-business management, soil science, and rural development. By fostering interdisciplinary dialogue among researchers, practitioners, and policymakers, it provides a global platform for innovative solutions that promote food security and sustainable development.</p> en-US <p>Author(s) and co-author(s)&nbsp;jointly&nbsp;and severally represent and warrant that the Article is original with the author(s) and does not infringe any&nbsp;copyright or violate any other right of any third parties, and that the Article has not been published&nbsp;elsewhere.&nbsp;Author(s) agree to the terms that the <strong>GPH Journal</strong> will have the full right to remove the published article on any misconduct found in the published article.</p> drekekejohn@gmail.com (Dr. EKEKE, JOHN NDUBUEZE) info@gphjournal.org (Dossa Kossivi Fabrice) Sat, 14 Mar 2026 00:00:00 +0000 OJS 3.1.1.2 http://blogs.law.harvard.edu/tech/rss 60 https://www.gphjournal.org/index.php/ar/article/view/2291 <p>This study examines the application of artificial intelligence in agricultural pedagogical process and farming in Nigeria. The study was guided by one objective. Reviews were undertaken in line with the objective of the study. The study was a descriptive survey. The target population was agricultural education teachers and students from across the state. A random sampling technique was used to select 202 respondents made up of students and teachers. The instrument for data collection was a questionnaire. The data generated were analyzed using Mean and Standard Deviation. The study concludes that the application of AI in teaching and learning agriculture will not only equip learners with modern skills for farming but also create motivation for farming among upcoming generation. The study recommended that training and re-training among teachers and students of agricultural science be conducted on use of Artificial Intelligence (AI) for teaching and learning in schools.</p> IMOBIGHE, Mabel Uleburin ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc-nd/4.0 https://www.gphjournal.org/index.php/ar/article/view/2291 Sat, 14 Mar 2026 11:11:06 +0000