Transforming Agriculture with AI: Opportunities, Challenges, and Future Prospects
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Abstract
Agriculture is changing rapidly due to rising food demand, climate shifts, and pressure on natural resources. Artificial Intelligence (AI) has become a key technology that can improve agricultural productivity, efficiency, and sustainability. AI-powered solutions like machine learning, computer vision, robotics, and predictive analytics allow farmers to monitor crops, optimize resource use, detect diseases early, and make better decisions. This paper looks at the role of AI in modern agriculture, discusses key applications, evaluates challenges in implementation, and explores future opportunities for smart farming systems. The study emphasizes how AI can enhance food security while promoting environmentally friendly farming practices.
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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.