Intelligent Cattle Monitoring System Using IOT, Computer Vision and Deep Learning for Precision Livestock Farming

This advanced cattle monitoring system uses modern technologies such as computer vision and deep learning to help farmers manage their livestock more efficiently. It is particularly beneficial for farmers in remote regions, where access to veterinary support and timely assistance can be limited. The system performs multiple tasks, including identifying individual cows, managing automated feeding, monitoring shed temperatures, and sending timely vaccination alerts. One of its most important functions is the early identification of Lumpy Skin Disorders (LSD). LSD is a fast-spreading viral infection that can severely harm cattle health and cause major financial losses. The system includes a specialized detection module that examines images of cattle and recognizes early signs of the disease in real time. This quick identification allows farmers and veterinarians to take immediate action and prevent the infection from spreading across the herd. Beyond disease detection, the platform acts as a complete livestock management tool. It features a smart vaccination reminder system that automatically alerts cattle owners, generates individual vaccination schedules, and keeps track of upcoming doses. Additional features—such as cattle tracking, feeding automation, and continuous monitoring of environmental conditions inside the shed—help improve overall productivity and farm hygiene. By combining AI-based analysis, automated monitoring, and a simple, user-friendly interface, the system reduces manual labor and encourages more sustainable livestock practices. Ultimately, it supports the transition toward technology-driven, self-reliant farming in India, boosts farm productivity, strengthens rural livelihoods, and ensures better health and protection for cattle.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20271081
Primary Topic
Milk Quality and Mastitis in Dairy Cows
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent Cattle Monitoring System Using IOT, Computer Vision and Deep Learning for Precision Livestock Farming

Dr. Vani S Badiger , Abhishek L, Harshitha Y R, Keerthana V, Likith N S
Zenodo (CERN European Organization for Nuclear Research)
Milk Quality and Mastitis in Dairy Cows
article

Intelligent Cattle Monitoring System Using IOT, Computer Vision and Deep Learning for Precision Livestock Farming

Dr. Vani S Badiger , Abhishek L, Harshitha Y R, Keerthana V, Likith N S
article en

Abstract

This advanced cattle monitoring system uses modern technologies such as computer vision and deep learning to help farmers manage their livestock more efficiently. It is particularly beneficial for farmers in remote regions, where access to veterinary support and timely assistance can be limited. The system performs multiple tasks, including identifying individual cows, managing automated feeding, monitoring shed temperatures, and sending timely vaccination alerts. One of its most important functions is the early identification of Lumpy Skin Disorders (LSD). LSD is a fast-spreading viral infection that can severely harm cattle health and cause major financial losses. The system includes a specialized detection module that examines images of cattle and recognizes early signs of the disease in real time. This quick identification allows farmers and veterinarians to take immediate action and prevent the infection from spreading across the herd. Beyond disease detection, the platform acts as a complete livestock management tool. It features a smart vaccination reminder system that automatically alerts cattle owners, generates individual vaccination schedules, and keeps track of upcoming doses. Additional features—such as cattle tracking, feeding automation, and continuous monitoring of environmental conditions inside the shed—help improve overall productivity and farm hygiene. By combining AI-based analysis, automated monitoring, and a simple, user-friendly interface, the system reduces manual labor and encourages more sustainable livestock practices. Ultimately, it supports the transition toward technology-driven, self-reliant farming in India, boosts farm productivity, strengthens rural livelihoods, and ensures better health and protection for cattle.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Milk Quality and Mastitis in Dairy Cows
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