Livestock Breed Identification using image analysis Technique
This project aims to revolutionize the livestock sector in Pakistan by utilizing the Machine Learning and AI algorithms. In the Agricultural sector in Pakistan, Livestock comprises a major part. Unfortunately, at many levels, multiple animals are considered un-identified because their breed is not recognized properly. For a long time, the animal breeds are recognized manually just by using previous knowledge. DNA imprinting methods that include studying the types of animals by studying their Genome sequence is another popular strategy but is expensive and time-consuming. Therefore, a cost-effective and easy-to-use method is required for proper breed recognition. In this project, we are proposing the recognition of the breed of livestock by developing a deep-learning model using the image data. We train our model by providing it with different biometric indicators of different animals. So, our model will be analyzing and identifying the breed of the animal by scanning different features of the animal like coat color, coat pattern, horns, size and length of animal body, etc.
Keywords: deep learning ,Artificial Intellegence,cloud computing,web development
Tools: Python,streamlit,jupyter notebook,visual code studio
Department: Department of Business Studies
Project Team Members
| Name |
Email |
|
Irum Hassan
|
Irum2020@namal.edu.pk |
|
Muhammad Aamir
|
amir2020@namal.edu.pk |
Project Poster
.jpg)