International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Agriculture is the backbone of the global economy, providing food security and livelihoods to billions. However, traditional farming practices are facing severe challenges such as climate change, resource depletion, and labor shortages. Artificial Intelligence (AI) offers transformative potential to revolutionize agriculture through automation, data-driven decision-making, and precision management. This research explores the integration of AI technologies—such as machine learning, computer vision, Internet of Things (IoT), and robotics—into agricultural systems. The study emphasizes how AI can optimize crop yield prediction, pest detection, irrigation management, and soil monitoring. The findings suggest that AI-driven solutions can enhance productivity by 25–30%, reduce input costs, and promote sustainable farming. The paper concludes that the “AI-based farming revolution” is key to achieving smart, sustainable, and resilient agriculture for the future.

Keywords:
Crop Recommendation: Suggests suitable crops based on soil and weather data.

Downloads: | DOI: 10.17148/IJARCCE.2025.141048