Pig Skin Disease Single Label Computer Vision Project
Updated 2 months ago
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PigDetect: AI-Powered Pig Skin Disease Detection & Monitoring PigDetect is an innovative platform designed to assist farmers in the early detection and management of pig skin diseases. By utilizing cutting-edge image processing and machine learning algorithms, the system allows farmers to capture images of their pigs and instantly receive a diagnosis. PigDetect helps farmers make informed decisions about the health of their livestock, reducing potential outbreaks and increasing farm productivity. ** Key Features:**
- [ ] Real-Time
Skin Disease Detection: Upload or capture images of pigs, and PigDetect will analyze them for signs of common skin diseases such as mange, ringworm, and erysipelas.
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[ ] Geolocation
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[ ] Tracking:
PigDetect maps the location of reported cases, helping farmers track disease spread and take preventive measures.
- [ ] Notifications:
The system sends real-time notifications to farmers when a skin disease outbreak is detected within a certain radius of their farm. Admin Controls: Farm administrators can manage blog posts, monitor disease data, and interact with PigDetect's community of users.
- [ ] PigDetect
provides farmers with a powerful tool to improve the health and welfare of their pigs, ultimately boosting productivity and preventing potential losses.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
pig-skin-disease-single-label_dataset,
title = { Pig Skin Disease Single Label Dataset },
type = { Open Source Dataset },
author = { Haru },
howpublished = { \url{ https://universe.roboflow.com/haru-0icei/pig-skin-disease-single-label } },
url = { https://universe.roboflow.com/haru-0icei/pig-skin-disease-single-label },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { sep },
note = { visited on 2024-11-13 },
}