u/Hot-Mind7714

Hi all,

We are a US startup working on a small dissolved-oxygen monitoring and prediction system for aquaculture, and wanted to share it here.

It has a DO probe connected to a pond-side device, with an app/cloud dashboard. It supports WiFi or eSIM and can run on DC power or solar power. The main thing we’re testing is a machine learning model for 24-hour DO trend prediction. In our field testing, we saw around 0.35 mg/L average error overall, and around 0.45 mg/L during dawn periods, which are usually the tricky low-oxygen hours. The system also gives simple AI suggestions around aeration, feeding, and water exchange.

It’s still early, so I’d really appreciate feedback from people working with fish, shrimp, RAS, ponds, or aquaponics.

Feel free to comment or DM me. Happy to share more and learn from your setup.

Hi all,

We are a US startup working on a small dissolved-oxygen monitoring and prediction system for aquaculture, and wanted to share it here.

It has a DO probe connected to a pond-side device, with an app/cloud dashboard. It supports WiFi or eSIM and can run on DC power or solar power. The main thing we’re testing is a machine learning model for 24-hour DO trend prediction. In our field testing, we saw around 0.35 mg/L average error overall, and around 0.45 mg/L during dawn periods, which are usually the tricky low-oxygen hours. The system also gives simple AI suggestions around aeration, feeding, and water exchange.

It’s still early, so I’d really appreciate feedback from people working with fish, shrimp, RAS, ponds, or aquaponics.

Feel free to comment or DM me. Happy to share more and learn from your setup.

Hi everyone,

I’m an aquaculture student doing a short survey on how aquaculture operators monitor water quality.

It has 10 questions and should take less than 5 minutes:
https://form.typeform.com/to/zFoKHgbf

I’d really appreciate your input. If you provide detailed feedback, we may follow up by email with a small thank-you reward.

Thank you!