How Artificial Intelligence is Revolutionizing Agricultural Business in Nigeria?

Abstract

Artificial intelligence (AI) is also becoming an acknowledged game-changer in the world of agriculture, and it has the potential to increase productivity, efficiency, and food security. This paper discussed how AI can transform agriculture in Nigeria, its present use, opportunities, challenges and the possible effects. Qualitative research design was used, and semi-structured interviews with major stakeholders of active Nigerian agribusiness firms using AI were used. The  companies offered their experience with AI-driven tools such as chatbots, predictive analytics, recommender systems, and pest detection models. The results showed that the early adoption of AI is transforming the agricultural practices by enhancing crop monitoring, improving farmer-market connections, optimising the use of inputs, and minimizing losses after harvesting. The companies cited positive effects of AI on productivity, farmer earnings, and rural development, and it was considered essential in enhancing food security and financial inclusion. But still, there were recurring issues that were found such as inadequate digital infrastructure, disjointed datasets, lack of digital literacy, and high implementation expenses. To solve these, companies implemented strategies like incremental implementation, open source technologies, offline solutions and collaborations with research institutions. The report concludes that AI can revolutionize the agricultural industry in Nigeria and lead to a tremendous economic growth, as long as systemic obstacles are overcome. Strategies to improve rural digital infrastructure, building centralised agricultural data systems, improving digital literacy, establishing inclusive financing systems, and collaboration between government, academia and the business sector are all recommended. These results can play a role in the continued discussion of digital agriculture and can serve as a means to implement AI usage in Sub-Saharan Africa on a larger scale.