专题：Wood and Agarwood Research

This cluster of papers focuses on the chemical constituents, production techniques, and pharmacological activities of agarwood derived from Aquilaria species. It covers topics such as sesquiterpenes, essential oils, wood identification, fungal diversity, and sustainable use.
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近5年高被引文献
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data

article Full Text OpenAlex 211 FWCI17.2346

A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings

article Full Text OpenAlex 191 FWCI38.4866

LDS-YOLO: A lightweight small object detection method for dead trees from shelter forest

article Full Text OpenAlex 106 FWCI8.8758

A Systematic Review of Individual Tree Crown Detection and Delineation with Convolutional Neural Networks (CNN)

review Full Text OpenAlex 100 FWCI12.5536

Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning

article Full Text OpenAlex 98 FWCI12.3258

Multi-Species Individual Tree Segmentation and Identification Based on Improved Mask R-CNN and UAV Imagery in Mixed Forests

article Full Text OpenAlex 91 FWCI7.4956

Sustainability in Wood Products: A New Perspective for Handling Natural Diversity

review Full Text OpenAlex 91 FWCI9.5036

Comparison of Classical Methods and Mask R-CNN for Automatic Tree Detection and Mapping Using UAV Imagery

article Full Text OpenAlex 88 FWCI7.2371

The Semantic Segmentation of Standing Tree Images Based on the Yolo V7 Deep Learning Algorithm

article Full Text OpenAlex 78 FWCI9.8028

Green Citrus Detection and Counting in Orchards Based on YOLOv5-CS and AI Edge System

article Full Text OpenAlex 70 FWCI13.9952