The agricultural industry is confronting significant challenges in sustaining global food production amid resource constraints and environmental concerns. Smart farming and precision agriculture harness advanced technologies to enhance efficiency and sustainability. Artificial Intelligence (AI) plays a crucial role in this transformation by enabling data-driven decision-making, optimizing agricultural processes, and improving productivity. This paper examines AI's role in smart farming and precision agriculture, focusing on its applications in crop management, livestock monitoring, resource optimization, and predictive analytics. Through an analysis of machine learning algorithms, computer vision techniques, and AI- powered decision support systems, this research underscores AI's potential in increasing efficiency, reducing environmental impact, and fostering a more sustainable agricultural future.
Artificial Intelligence (AI), Smart Farming, Crop Monitoring, Livestock farming