Smart Agriculture: Leveraging AI and IoT for Sustainable Farming

Abstract

Artificial Intelligence (AI) and the Internet of Things (IoT) are driving the transformation of agriculture by enabling precision farming, automated irrigation, and predictive analytics. This paper explores the role of AI-powered drones, smart sensors, and machine learning algorithms in optimizing crop yield, reducing resource consumption, and enhancing food security. We analyze case studies of smart agriculture implementations and discuss challenges such as infrastructure costs, connectivity issues, and climate change impacts. The findings highlight how AI and IoT are creating sustainable and efficient farming solutions for the future.