SYNERGETIC APPLICATION OF ARTIFICIAL INTELLIGENCE, UNMANNED AIRCRAFT AND LIDAR DATA IN OPTIMIZING ECOLOGICAL MONITORING IN FORESTRY
Keywords:
machine learning, ecosystem management, predictive modeling, habitat restoration, climate resilience, environmental monitoring.Abstract
The integration of artificial intelligence (AI) and forestry will produce profound changes in areas such as precision monitoring, disaster management, carbon sequestration processes, and biodiversity conservation. In this regard, it takes the generalization of ecological models, the integration of multi-source data, and ethical governance mechanisms for AI technologies. A comprehensive analysis of trees is presented, with a particular focus on three areas: resource monitoring, disaster control, and conservation. The data was collected through an extensive analysis of academic databases between 2019 and 2025. The review identifies several uses of AI in forestry.
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