TreeAgent uses a Decoupled Declarative Decision (D3) Framework to orchestrate expert rules and VLMs for tree bias classification, outperforming supervised ML baselines with reduced expert labeling effort.
arXiv preprint arXiv:2505.14361 , year=
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TreeAgent: A Generalizable Multi-Agent Framework for Automated Bias Labeling in Forestry via Compiled Expert Rules and Vision-Language Models
TreeAgent uses a Decoupled Declarative Decision (D3) Framework to orchestrate expert rules and VLMs for tree bias classification, outperforming supervised ML baselines with reduced expert labeling effort.