# IoT based Smart Water Quality Prediction for Biofloc Aquaculture

arXiv: https://arxiv.org/abs/2208.08866 · HTML: https://mlsanity.com/paper/2208.08866/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 49 references that are in the map.
- First posted on arXiv 27 Jul 2022.

## Builds on (most cited first, 1 of 1)

- [Deep learning for smart fish farming: applications, opportunities and challenges](https://mlsanity.com/paper/2004.11848/) (2020)

## Abstract (arXiv)

Traditional fish farming faces several challenges, including water pollution, temperature imbalance, feed, space, cost, etc. Biofloc technology in aquaculture transforms the manual into an advanced system that allows the reuse of unused feed by converting them into microbial protein. The objective of the research is to propose an IoT-based solution to aquaculture that increases efficiency and productivity. The article presented a system that collects data using sensors, analyzes them using a machine learning model, generates decisions with the help of Artificial Intelligence (AI), and sends notifications to the user. The proposed system has been implemented and tested to validate and achieve a satisfactory result.