Authors: Dr. Rohan Sharma, Dr. Kavita Joshi
Abstract: The integration of Unmanned Aerial Vehicles (UAVs) with remote sensing technologies has transformed precision agriculture, enabling real-time monitoring, data-driven decision-making, and resource optimization. This paper explores the diverse applications of UAV-based remote sensing in precision agriculture, including crop health assessment, soil property analysis, irrigation management, and pest detection. The study compares various sensor types— multispectral, hyperspectral, thermal, and LiDAR—highlighting their strengths and limitations in agricultural contexts. By combining high-resolution aerial imagery with Geographic Information Systems (GIS) and machine learning algorithms, UAV-based systems provide farmers with actionable insights to increase productivity, reduce input costs, and promote sustainable farming practices. A multi-sensor approach emerges as the most effective strategy for comprehensive precision agriculture monitoring.
Keywords: UAV, remote sensing, precision agriculture, multispectral, hyperspectral, GIS, crop monitoring.
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