Summary
• Review of UAVs, UGVs, and sensors in precision tree fruit disease management. • Machine learning for disease detection, monitoring, and predictive modeling. • Mimicking human systems for comprehensive disease management strategies. • Identifies data quality and computational challenges in disease management. • Predictive models using historical, weather, and GIS data for proactive management. Effective disease management in tree fruit cultivation is essential for ensuring crop health, improving yield, and minimizing economic losses. In recent years, the adoption of advanced technologies has revolutionized the approach to managing tree fruit diseases. This review explores the integration of precision agriculture tools, such as Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGV
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