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.
Authors
- Victoria Adeyemi Tanimonure (ORCID: https://orcid.org/0000-0002-6490-3482)
- Atanda Samuel Oladejo
- Cornelius Talade Atere (ORCID: https://orcid.org/0000-0002-4885-4051)
- O. A. ADEBISI
- Idowu Atoloye (ORCID: https://orcid.org/0000-0002-9853-1576)
- Michael Awoleye (ORCID: https://orcid.org/0000-0002-8223-1368)
- Abiodun T. Atoloye (ORCID: https://orcid.org/0000-0001-9825-4321)
Institutions
- Utah State University (US)
- Obafemi Awolowo University (NG)
- Alcorn State University (US)
Publication Details
- Published
- 2025-07-13
- DOI
- https://doi.org/10.1145/3726302.3730265
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- United States Agency for International Development