Examining the Applications of Artificial Intelligence (AI) in Agricultural Pedagogical Process and Farming in Nigeria

Abstract 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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-14
DOI
https://doi.org/10.5281/zenodo.19019172
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Examining the Applications of Artificial Intelligence (AI) in Agricultural Pedagogical Process and Farming in Nigeria

Mabel Uleburin IMOBIGHE
Zenodo (CERN European Organization for Nuclear Research)
Genetics, Bioinformatics, and Biomedical Research
article

Examining the Applications of Artificial Intelligence (AI) in Agricultural Pedagogical Process and Farming in Nigeria

Mabel Uleburin IMOBIGHE
article en

Abstract

Abstract 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.

Zenodo (CERN European Organization for Nuclear Research)
Delta State University (NG)
Zero hunger
Openalex Percentile: Top 22%
Genetics, Bioinformatics, and Biomedical Research
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Examining the Applications of Artificial Intelligence (AI) in Agricultural Pedagogical Process and Farming in Nigeria — Mabel Uleburin IMOBIGHE · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS