Artificial Intelligence and Machine Learning in Precision Farming a Case Study of Nigeria: A Review

Precision farming leverages Artificial Intelligence (AI) and Machine Learning (ML) and has the potential to transform the agricultural landscape in Nigeria. This paper reviews the concepts, applications, benefits, and challenges of AI and ML in precision farming in Nigeria. Our case study highlights the use of AI-powered tools for crop monitoring, soil health analysis, and predictive analytics, demonstrating significant improvements in crop yields, water usage, and farmers’ income. The paper also considers the future prospects and limitations of adopting AI and ML in Nigerian Agriculture including infrastructure, data quality and farmers awareness. Our findings suggest that AI and ML can play a vital role in enhancing agricultural productivity and sustainability in Nigeria, and we recommend increased investment in digital infrastructure, capacity building and policy support to unlock the full potential of precision farming in the country.