Commit
•
af9e0ee
1
Parent(s):
e408544
Update README.md
Browse files
README.md
CHANGED
@@ -1,8 +1,12 @@
|
|
1 |
|
2 |
## Overview
|
3 |
|
4 |
-
|
5 |
|
|
|
|
|
|
|
|
|
6 |
## How to use
|
7 |
|
8 |
Please download the model weights first
|
|
|
1 |
|
2 |
## Overview
|
3 |
|
4 |
+
# Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding
|
5 |
|
6 |
+
|
7 |
+
This repository contains a YOLOv8-based model for precise Tilapia feeding in aquaculture, combining computer vision and IoT technologies. Our system uses real-time IoT sensors to monitor water quality and computer vision to analyze fish size and count, determining optimal feed amounts. We achieved 94% precision in keypoint detection on a dataset of 3,500 annotated Tilapia images, enabling accurate weight estimation from fish length. The system includes a mobile app for remote monitoring and control. Our approach significantly improves aquaculture efficiency, with preliminary estimates suggesting a potential increase in production of up to 58 times compared to traditional farming methods. This repository includes our trained models, code, and a curated open-source dataset of annotated Tilapia images.
|
8 |
+
|
9 |
+
[Rest of the README content remains the same]
|
10 |
## How to use
|
11 |
|
12 |
Please download the model weights first
|