AI-Powered Agriculture: Transforming Farming for the Future

S. Gokula Krishnan; A. Aswin; R. Karthik

S. Gokula Krishnan Department of Data Science, Sri Krishna Adithya College of Arts and Science
A. Aswin Department of Data Science, Sri Krishna Adithya College of Arts and Science
R. Karthik Assistant Professor, Department of Data Science, Sri Krishna Adithya College of Arts and Science

Keywords: AI, Agriculture, Yield Prediction, Smart Irrigation, Automation, Precision Farming, Machine Learning, Crop Monitoring

Abstract

Artificial Intelligence (AI) is revolutionizing agriculture through increased sustainability, production, and efficiency. This study examines the ways in which AI-powered tools like computer vision, machine learning, and predictive analytics are changing agricultural methods. By examining case studies and technological developments, we draw attention to AI’s applications in yield prediction, crop health monitoring, precision agriculture, and soil analysis. AI’s potential to address issues like resource management, food security, and climate change is highlighted by the findings [1].