Point dendrometers are indispensable for monitoring tree growth and detecting stress in forest ecosystems, offering detailed insights into cambial activity and environmental responses. The project’s goal is to harness machine learning to address data gaps and enhance the precision of trend detection in dendrometer data. This approach will also seek to identify signals of ecosystem […]
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