Vision-language models know more about agriculture than they show and rubric-grounded verifications close the gap
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arXiv:2609.09417v1 Announce Type: new Abstract: Vision-language models (VLMs) show promise for agricultural classification, but zero-shot performance on disease, pest, damage, quality, and species identification remains poor, and it is unclear whether this reflects weak visual features or a failure…
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- 2026-09-10 04:00 · arXiv cs.CV
Vision-language models know more about agriculture than they show and rubric-grounded verifications close the gap