Dynamic optimization of stand structure in Pinus yunnanensis secondary forests based on deep reinforcement learning and structural prediction

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Opis bibliograficzny
Wydane w:	Frontiers in Plant Science vol. 16 (Oct 2025), p. 1610571-1610595
1. autor:	Zhao, Jian
Kolejni autorzy:	Wang, Jianming, Yin, Jiting, Chen, Yuling, Wu, Baoguo
Wydane:	Frontiers Media SA
Hasła przedmiotowe:	Yunnan China China Forest management Stand structure Collaboration Deep learning Sustainability management Trends Optimization Biodiversity Ecological function Dynamic characteristics Heuristic Forests Ecosystem management Efficiency Growth models Pine trees Sustainable forestry Precipitation Forest ecosystems Predictions Objective function Trees Terrestrial ecosystems Learning Multiagent systems Stability Algorithms Economic Pinus yunnanensis
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