Institute of Forest Science

Effects of transfer learning on seedling detection from drone imagery: a layer freezing study with faster R-CNN

Effective decision-making in forest management relies on accurate and timely data, yet conventional manpower-based methods often fail to provide sufficient coverage. This study develops a cost-effective, deep learning–based monitoring technique for assessing replanted areas follo...

Service Life Distribution of Timber Buildings in South Korea Based on National Demolition Big Data

Building service life is a critical parameter in lifecycle assessment; however, current assessments often rely on arbitrary standards. This study analyzed the empirical service life of buildings using South Korean national building-register data, categorizing 1,419,867 records in...

Comparison of UAV Image-Based Detection Accuracy of Pine Wilt Disease-Affected Trees Using Different Dataset Compositions and Attention Modules

This study evaluated the effects of input-channel composition and the incorporation of attention modules on the detection accuracy of visually suspected pine wilt disease (PWD)-affected trees using unmanned aerial vehicle (UAV) RGB orthomosaic imagery and the YOLO26-Large (YOLO26...

Morphological and Metabolic Changes During Callus-Based Shoot Regeneration in Chamaecyparis obtusa

Chamaecyparis obtusa is a valuable conifer species, prized for its high-quality timber and bioactive essential oils. However, commercial micropropagation is challenging due to its resistance to vegetative propagation. This study aimed to develop an efficient in vitro plant regene...

Interspecific variation in bamboo decay capacity of bambusicolous Apiospora species

Abstract Bambusicolous fungi play crucial roles in bamboo growth, health, disease, and lignocellulose decomposition. Among them, Apiospora species occupy diverse ecological niches as endophytes, pathogens, and saprotrophs. Fungal decay ability is an important functional trait for...