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

Domain:

agriculture

Record type:

paper

Creator:

WanSilHamUsm

Publisher:

Host:

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.

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info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode

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