Optimizing forest stand aggregation in fragmented stands using graph convolutional networks: A case study in Japan
Japan’s forest sector faces persistent challenges due to fragmented land ownership and an increasingly skewed age-class structure, undermining not only management efficiency but also economic viability and long-term sustainability. This study proposes a novel approach to forest stand aggregation by...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525001923 |
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