Real-time aquatic monitoring system for tilapia farming
| dc.contributor.author | Bessadi Hacene | |
| dc.contributor.author | Tir Zakaria | |
| dc.contributor.author | Chadli Samir (Encadreur) | |
| dc.contributor.author | Toubal Abdelmoughni (Co-Encadreur) | |
| dc.date.accessioned | 2026-01-21T09:09:12Z | |
| dc.date.available | 2026-01-21T09:09:12Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The traditional methods for monitoring water quality are relatively inefficient and time-consuming. Therefore, it is better to design a modern system for water monitoring. This project presents a real-time water quality monitoring system for tilapia fish, utilizing Internet of Things (IoT) technology. The system integrates sensors with ESP32, creating a network of real-time monitoring systems. these sensors continuously measure parameters such as salinity, pH level, temperature, and other data, which are managed by ESP32. This system enhances and advances the aquaculture sector, ensures fish health, and reduces the burden of regular manual monitoring for farmers, all at a low cost and high efficiency. | |
| dc.identifier.uri | https://dspace.univ-medea.dz/handle/123456789/14018 | |
| dc.language.iso | en | |
| dc.relation.ispartofseries | M25 83; M125 83 | |
| dc.title | Real-time aquatic monitoring system for tilapia farming | |
| dc.type | Thesis |
