Work

Livestock Vision Studio: An End-to-End Deep Learning Framework for Cattle and Buffalo Breed Recognition

Year: 2026

Type: article

Abstract: India maintains one of the world's largest populations of cattle and buffaloes, with over 50 recognized indigenous breeds adapted across diverse agro-climatic zones. Accurate breed identification remains central to dairy productivity, genetic conservation, insurance administration, and government traceability initiatives. However, conventional breed recognition relies on subjective expert judgment, which is inconsistent—especially for crossbreds or visually similar breeds.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19979720

Authors: Mohd Altaf, Mohd Anas, Mohd Afjan, Dr. Anita Pal

Institutions: Dr. A.P.J. Abdul Kalam Technical University, APJ Abdul Kalam Technological University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W7159791130

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