Mapping Olive and Palm Trees in Libya Using Computer Vision: A Baseline Study for Food Security and Economic Diversification

Abstract

The cultivation of olive and date palms is an integral part of the Libyan agricultural sector and contributes significantly to food security and economic diversification. However, the absence of accurate and up-to-date national data on tree populations limits strategic planning and investment. This study introduces an integrated approach using high-resolution satellite imagery, UAV surveys, and AI-based tree detection models to map olive and palm trees in Libya. The project aims to establish the first national baseline for tree populations, providing insight into spatial patterns, productivity potential, and vulnerability hot spots. The study offers actionable recommendations to strengthen sustainable agriculture and economic diversification efforts by linking tree distribution data to food security and economic indicators. The methodology also highlights the transformative potential of information and communication technologies (ICT) and remote sensing in shaping agricultural strategies within fragile contexts like Libya.