An Optimal Internet of Things-Driven Intelligent Decision-Making System for Real-Time Fishpond Water Quality Monitoring and Species Survival
Saima Kanwal, Muhammad Abdullah, Sahil Kumar, Saqib Arshad, Muhammad Shahroz, Dawei Zhang, Dileep Kumar, Jianguo (Jack) Wang · 2024
Read An Optimal Internet of Things-Driven Intelligent Decision-Making System for Real-Time Fishpond Water Quality Monitoring and Species Survival by Saima Kanwal, Muhammad Abdullah, Sahil Kumar, Saqib Arshad, Muhammad Shahroz, Dawei Zhang, Dileep Kumar, Jianguo (Jack) Wang (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11644897.txt.
Description
Saima Kanwal and seven co-authors build a smart monitoring system for fish ponds, in a 2024 paper. Pond water quality shifts with the weather, and poor water kills fish. Farmers need live warnings and sound advice across species and regions.
Sensors linked to a small controller track acidity, temperature, and cloudiness around the clock. The team gathered 43,459 records covering ten fish species in varied ponds. Machine learning models learned to judge water states from these records. A decision tree model scored 99.8 percent accuracy on its tests. The system shares data through cloud services for remote control. The authors pitch it as climate smart fish farming.
Catalog record
| CREATOR | Saima Kanwal, Muhammad Abdullah, Sahil Kumar, Saqib Arshad, Muhammad Shahroz, Dawei Zhang, Dileep Kumar, Jianguo (Jack) Wang |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |