Team Members:
| Name | C.V | linked in | |
| Ahmed Waleed Zanon (leader) | ahmed1608592@miuegypt.edu.eg | C.V | Link |
| Hadeer Medhat Barakat | hadeer1605917@miuegypt.edu.eg | C.V | Link |
| Mariam Esmail Abdelkader | mariam1605986@miuegypt.edu.eg | C.V | Link |
| kareem osama onsy | kareem1602164@miuegypt.edu.eg | C.V | Link |
Supervisors:
| Name | |
| Dr/Taragy Ghanim | taraggy.ghanim@miuegypt.edu.eg |
| Eng/Radwa Samy | radwa.mohamed@miuegypt.edu.eg |
Project Abstract:
Fish farm environment strongly affects fish behavior and health. Uncontrolled environment may cause fish mortality and severe losses in fish production that may affect countries’ economies. The proposed system serves this field by analyzing fish farm environment. The system is composed of Raspberry pi hardware circuit which is connected to sensors and camera. The sensors are responsible for examining water quality by measuring water temperature and rate of pH, while the camera acquires video frames for tracking fish movement and disease detection. These diseases are Epizootic ulcerative syndrome (EUS), Ichthyophthirius (Ich) and Columnaris. Finally, the system sends a notification through android or web application to inform users of any improper farm conditions and any detected infections.
proposal presentation
proposal Document
SRS presentation
SRS Document
SDD presentation
SDD Document
Thesis Document
Thesis presentation
Published Paper
Published in: 2019 14th International Conference on Computer Engineering and Systems (ICCES)
publishlink : Link
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