Artificial Intelligence in Agriculture: A Data-Driven Approach to Sustainable Farming

Authors- Manoj

Abstract--The agricultural sector is facing numerous challenges including labor shortages, climate change, inefficient resource utilization, and increasing demand for food. Artificial Intelligence (AI) offers innovative solutions by enabling real-time monitoring, data-driven decision-making, and automation. This research aims to develop and evaluate an AI-based smart farming system that integrates machine learning, computer vision, and sensor data to optimize crop yield and resource usage. Through case studies and a comprehensive literature review, the paper demonstrates how AI can play a pivotal role in addressing food security, climate resilience, and Labor shortages in agriculture. It concludes with recommendations for promoting AI adoption and outlines future research directions for smart, sustainable Farming.

DOI: /10.61463/ijset.vol.13.issue3.171