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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Examining the Applications of Artificial Intelligence (AI) in Agricultural Pedagogical Process and Farming in Nigeria

Authors: IMOBIGHE, Mabel Uleburin;

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

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.

Keywords

Artificial Intelligence, Technology, Teaching and Learning, Farming

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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