A comprehensive review of LiDAR applications in crop management for precision agriculture highlights the transformative role of LiDAR technology in enhancing crop productivity, optimizing resource use, and reducing environmental impact. LiDAR, which uses laser pulses to generate precise 3D models, is increasingly integrated into precision agriculture for crop monitoring, disease detection, weed control, and autonomous harvesting. The review discusses various LiDAR systems, including airborne, terrestrial, and mobile systems, and their specialized applications in agriculture. Airborne LiDAR (ALS) provides high-resolution data for crop health assessment, vegetation mapping, and yield estimation. Terrestrial LiDAR (TLS) is effective for detailed crop structure analysis, while mobile LiDAR (MLS) enables localized data collection for precise crop management. The review emphasizes the potential of LiDAR in improving irrigation, fertilization, and pest control by providing accurate data on crop conditions. It also addresses challenges such as data processing, cost, and integration with other technologies. The paper concludes that LiDAR technology holds significant promise for sustainable agriculture, enabling efficient resource use and environmentally friendly crop management. Future research should focus on overcoming current limitations and expanding the application of LiDAR in precision agriculture.A comprehensive review of LiDAR applications in crop management for precision agriculture highlights the transformative role of LiDAR technology in enhancing crop productivity, optimizing resource use, and reducing environmental impact. LiDAR, which uses laser pulses to generate precise 3D models, is increasingly integrated into precision agriculture for crop monitoring, disease detection, weed control, and autonomous harvesting. The review discusses various LiDAR systems, including airborne, terrestrial, and mobile systems, and their specialized applications in agriculture. Airborne LiDAR (ALS) provides high-resolution data for crop health assessment, vegetation mapping, and yield estimation. Terrestrial LiDAR (TLS) is effective for detailed crop structure analysis, while mobile LiDAR (MLS) enables localized data collection for precise crop management. The review emphasizes the potential of LiDAR in improving irrigation, fertilization, and pest control by providing accurate data on crop conditions. It also addresses challenges such as data processing, cost, and integration with other technologies. The paper concludes that LiDAR technology holds significant promise for sustainable agriculture, enabling efficient resource use and environmentally friendly crop management. Future research should focus on overcoming current limitations and expanding the application of LiDAR in precision agriculture.