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 following timber harvesti