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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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SAHIWAL COW BREED IDENTIFICATION
Akash Singhal, Ankush Agarwal, Neervika Gupta, Adnan Hasan, Amit Kumar Saini
Journal of Data Acquisition and Processing, 2023, 38 (2): 739-745 .
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Abstract
In this paper the study objective is to make recommendations for a Python-based Machine Learning System that can identify the Sahiwal cow breed. The problem for identifying cow breed in real is a major problem so by using Machine Learning model we can predict cow breed. The system makes use of CNN, a type of machine learning.
The 2000 photos in the cow breed dataset come from five different breeds of cows. Pictures are appropriately categorized by breed. The assessment gives them the output if the cow is Sahiwal or not and the next actions they should provide us the exact output with accuracy.
Keyword
Prediction, Machine Learning, Classification, Accuracy.
PDF Download (click here)
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