AINeutralarXiv – CS AI · 7h ago6/10
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Adapting Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone tuning of Geospatial Foundation Model
Researchers demonstrate a parameter-efficient fine-tuning approach for the Prithvi-EO geospatial foundation model to improve fallow land detection, achieving a 25.70% improvement over baseline methods. The hybrid approach combines LoRA adaptation with ViT-Adapter neck designs to address the challenge of multi-scale feature extraction from Vision Transformer architectures for agricultural monitoring.