Artificial Intelligence in Precision Agriculture: A Comprehensive Review of Applications and Future Prospects
DOI:
https://doi.org/10.61424/12a4jj21Keywords:
Artificial Intelligence, Precision agriculture, modern agriculture, remote sensing, sustainable agricultural practicesAbstract
Artificial Intelligence (AI) is revolutionizing modern agriculture by enabling more precise, efficient, and sustainable farming practices. Precision agriculture (PA), which integrates AI with data-driven technologies such as remote sensing, Internet of Things (IoT) devices, and machine learning algorithms, offers transformative potential for crop monitoring, yield prediction, pest and disease management, and resource optimization. This comprehensive review synthesizes recent advancements in AI applications within PA, highlighting how predictive analytics, computer vision, robotics, and decision-support systems are enhancing productivity while minimizing environmental impact. The study also examines the challenges associated with AI adoption, including data quality, infrastructure limitations, and scalability concerns, and identifies emerging opportunities for integrating AI with climate-smart and sustainable agricultural practices. By providing a detailed overview of current applications and prospective developments, this review underscores the critical role of AI in shaping the future of precision agriculture and ensuring global food security.
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