PlanktonStatusDesigned a mobile-first app that lets fish farms and specialists report jellyfish and plankton in seconds — with AI recognition and early warnings for harmful species.

Client

Institute of Marine Research — Dugnad for havet

PlanktonStatus is the mobile app fish farm crews and specialists use to photograph and report jellyfish and plankton in the field.

Value for client

Turned a slow field report into a photo-first flow crews finish in seconds — so IMR gets verified observations into Dugnad for havet when they still matter.

A whole report is one photo — species, time, and location captured in seconds, even cold, wet, and one-handed.
AI suggests, the human confirms — so wrong species don't slip into the national dataset.
No signal, no lost observation — register at sea, sync to Dugnad for havet later.

Designed for one hand, harsh weather, and no signal

Crews report from boats and walkways — cold, wet, often one-handed, sometimes offline. Every step had to assume those conditions.

Context

Fish farm crews and specialists report jellyfish and plankton from the water, in the field

Field conditions

Design response

No time to write details in harsh weather

AI recognition and auto-filled metadata from one photo.

Cold, wet, one-handed use on a moving boat

Large targets and a short one-thumb flow.

Manual entry invites wrong species

Confirm an AI suggestion instead of typing.

No mobile signal at sea

Harmful species threaten fish farms

Warnings combine observations with currents, wind, and tide.

Reporting a jellyfish or plankton observation

1Open app on the water
2Take a photo
3AI identifies the species
4Time and location auto-filled
5Submit — or save offline

PlanktonStatus app mockup — home, AI identification, observation detail, and map location — PlanktonStatus — AI identifies the species with a match confidence, auto-fills location, date, and time, and tracks submitted and offline observations.