Automated Cattle Identification and Real-Time Monitoring Using Advanced Computer Vision and Deep Learning

DOI

10.2991/978-94-6239-678-4_5How to use a DOI?

Keywords

Computer Vision; Deep Learning; Livestock Monitoring; Cattle Identification; Smart Agriculture; IoT; Precision Livestock Farming; Animal Welfare

Abstract

Accurate identification and real-time monitoring of cattle are essential for improving livestock productivity, traceability, and animal welfare. Traditional identification methods such as ear tagging and RFID are intrusive and susceptible to loss or damage. Recent advances in deep learning and computer vision provide non-invasive alternatives capable of continuous and automated monitoring. This paper presents a unified smart livestock monitoring framework integrating visual biometrics, object detection, multi-object tracking, and IoT-based sensing. The proposed system employs YOLOv8 for real-time detection, DeepSORT for persistent identity tracking, and convolutional neural networks for biometric recognition and health analysis. A hybrid cloud–edge architecture is designed to enable low-latency inference and scalable analytics. Experimental evaluations on public cattle datasets demonstrate reliable detection, identification, and behavior recognition performance under real farm conditions. The framework provides a scalable and non-invasive solution for intelligent livestock management.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rama Krishna Jakkula
AU  - Aashima Aashima
AU  - Pennabadi Sai Jaswanth Reddy
AU  - Akash Ram Poluboina
AU  - Aramati Sai Poshith Reddy
AU  - Adithipatel Sakkirga
PY  - 2026
DA  - 2026/05/28
TI  - Automated Cattle Identification and Real-Time Monitoring Using Advanced Computer Vision and Deep Learning
BT  - Proceedings of the 2nd International Conference on Recent Advancement and Modernization in Sustainable Intelligent Technologies & Applications (RAMSITA-2026)
PB  - Atlantis Press
SP  - 45
EP  - 57
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-678-4_5
DO  - 10.2991/978-94-6239-678-4_5
ID  - Jakkula2026
ER  -