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AQUA-7B

Author or publisher unknown · Publication date unknown

AQUA-7B is Kurma AI’s flagship 7-billion parameter large language model built exclusively for the global aquaculture industry. And it is the first large language model for the aquaculture. It is fine-tuned to deliver actionable insights for aquaculture species-specific farming, hatchery operations, water quality control, and disease management.

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Author unknown. Date unknown. AQUA-7B. https://huggingface.co/KurmaAI/AQUA-7B (AI & Environment Resource Hub; record atlas-d2fca1381ac9; collection snapshot 2026-09-15).

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Available source metadata

Author or creator
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unknown
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Access
free
Language
unknown
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unknown
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verified
Last verified
2026-09-15T16:45:55.204Z
Snapshot import
2026-09-06
Legacy domain
Water & Oceans
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Provenance and review

Source sheet: Tool · Row 158 · Original ID: Not supplied.

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Inclusion does not establish effectiveness, maintenance, or endorsement. Check access and current documentation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

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Related through shared environmental topics

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Shared topics: Water; Biodiversity and ecosystems; Oceans and coasts; Agriculture and food

Shared topics: Water; Biodiversity and ecosystems; Oceans and coasts

Scientific Paper · 2025-09-25

A Sentinel-3 Foundation Model for Ocean Colour

This study introduces a new foundation model based on the Prithvi-EO Vision Transformer, pre-trained on Sentinel-3 ocean color data, to enhance marine Earth observation. By fine-tuning on chlorophyll and primary production tasks, the model outperforms traditional baselines, showing that self-trained AI can extract detailed spatial patterns from limited labeled data and improve monitoring of ocean ecosystems and climate processes.

arXiv

Shared topics: Water; Biodiversity and ecosystems; Oceans and coasts

Shared topics: Water; Biodiversity and ecosystems; Oceans and coasts

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AI for Oceans

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