AI IN AGRICULTURE: AUTONOMOUS DRONES AND MACHINE VISION FOR CROP HEALTH MONITORING

Abstract

The integration of Artificial Intelligence (AI) in agriculture has ushered in a new era of precision farming. One of the most promising applications of AI in agriculture is the use of autonomous drones combined with machine vision systems to monitor crop health. This paper explores how AI-driven technologies enhance the capabilities of drones in providing real-time, accurate assessments of crop health, enabling farmers to make data-driven decisions. The study examines various AI models employed in conjunction with drone technology for monitoring crop health, including object detection, disease identification, and pest management. Additionally, the paper discusses the economic and environmental impacts of AI-based crop health monitoring and provides insights into the future potential of these technologies in sustainable agriculture.