Leveraging Artificial Intelligence-Powered Virtual Assistant for Information Retrieval in Indigenous Agriculture: Insights from Nigeria

This study examines the use of an AI-powered Virtual Assistant (VA) to aid information retrieval in the cultivation of indigenous vegetables in Nigeria. A two-phase approach involved a needs assessment with 240 youth and the deployment of a bilingual web-based VA using a Large Language Model. The results show a strong youth interest in the tool, despite infrastructure and financial challenges. The VA achieved a high Precision@3 score (0.87), indicating its potential to improve agricultural decision-making in low-resource areas. The use of the VA can improve access to timely and context-specific agricultural knowledge, thereby supporting climate change adaptation and contributing to global food security.

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Published
2025-07-13
DOI
https://doi.org/10.1145/3726302.3730265
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

Leveraging Artificial Intelligence-Powered Virtual Assistant for Information Retrieval in Indigenous Agriculture: Insights from Nigeria

Victoria Adeyemi Tanimonure, Atanda Samuel Oladejo, Cornelius Talade Atere, O. A. ADEBISI et al.
AI in Service Interactions
article

Leveraging Artificial Intelligence-Powered Virtual Assistant for Information Retrieval in Indigenous Agriculture: Insights from Nigeria

Victoria Adeyemi Tanimonure, Atanda Samuel Oladejo, Cornelius Talade Atere, O. A. ADEBISI, Idowu Atoloye, Michael Awoleye, Abiodun T. Atoloye
article en

Abstract

This study examines the use of an AI-powered Virtual Assistant (VA) to aid information retrieval in the cultivation of indigenous vegetables in Nigeria. A two-phase approach involved a needs assessment with 240 youth and the deployment of a bilingual web-based VA using a Large Language Model. The results show a strong youth interest in the tool, despite infrastructure and financial challenges. The VA achieved a high Precision@3 score (0.87), indicating its potential to improve agricultural decision-making in low-resource areas. The use of the VA can improve access to timely and context-specific agricultural knowledge, thereby supporting climate change adaptation and contributing to global food security.

Utah State University (US), Obafemi Awolowo University (NG), Alcorn State University (US)
United States Agency for International Development
Zero hunger
Openalex Percentile: Top 92%
AI in Service Interactions
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Leveraging Artificial Intelligence-Powered Virtual Assistant for Information Retrieval in Indigenous Agriculture: Insights from Nigeria — Victoria Adeyemi Tanimonure, Atanda Samuel Oladejo, et al. · (2025) | TGRS Research Map | TGRS