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Multi Biometric Analysis of Cattle for Identification and Health Monitoring

Implementing Organization

Principal Investigator
Dr. Rahul Raman
Indian Institute Of Information Technology Design And Manufacturing, Kancheepuram, Chennai, Tamilnadu (600127)

Project Overview

Advancements in technology are transforming farming practices in India, with livestock farming being a significant economic backbone. Current methods for livestock identification, such as labeling, tattooing, ear tagging, and RFIDs, are debated for animal rights and efficacy. Biometric identification is now a popular method in India, allowing faster and accurate identification. This proposal aims to study Indian cattle breeds for accurate identification using local feature-based methods. The study will involve four phases: acquiring a detailed cattle database, studying potential feature sets from multiple biometric traits, subjecting refined data to deep learning models, and testing the refined algorithm over constrained and unconstrained data. The database will be used for health monitoring, aging, and breeding-based research.
Funding Organization
Quick Information
Area of Research
Computer Sciences and Information Technology
Focus Area
Food and agriculture, Electronics,Computers and Communication Engineering
Start Date
2024
End Date
2026
Status
Ongoing
Contact
rahulraman2@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
00
No. of Patents
Filed : 00
Grant : 00
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