A canopy graph pseudo-labelling method with LLM-derived species cohabitation priors achieves 5.6% higher accuracy than the best baseline on a real forest dataset, with expert-validated priors accurate to within 15%.
EUNIS habitat classification:Expertsystem,characteristicspeciescombinationsand distribution maps of european habitats.Applied VegetationScience, 23(4):648–675
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
From Articles to Canopies: Knowledge-Driven Pseudo-Labelling for Tree Species Classification using LLM Experts
A canopy graph pseudo-labelling method with LLM-derived species cohabitation priors achieves 5.6% higher accuracy than the best baseline on a real forest dataset, with expert-validated priors accurate to within 15%.