Real Time Disease Detection for Cattles and Pets and Tool for Veterinary Assistance and Farmers

This work helps veterinarians and farmers in predicting skin diseases of cattle and pets.A real-time skin disease detection device designed to assist veterinary doctors and farmers by providing rapid and reliable identification of common skin diseases in cattle and pets.The device integrates a Convolutional Neural Network (CNN) deep learning model deployed on a Raspberry Pi, which is both cost-effective and suitable for on-site usage.The camera module attached to the Raspberry Pi captures images of the animal's skin, and the model trained in TensorFlow Lite (TFLite) is optimized for efficient processing of these images locally.The predictions are immediately shown on an attached 162 LCD screen, which allows for fast assessment without the need for Internet connectivity.This fast tool supports prompt disease detection and intervention, thus empowering veterinary practitioners and farmers to better manage animal health in far-flung and rural areas.

Authors

Publication Details

Journal
Traitement du signal
Published
2025-06-30
DOI
https://doi.org/10.18280/ts.420317
Primary Topic
Animal Disease Management and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Real Time Disease Detection for Cattles and Pets and Tool for Veterinary Assistance and Farmers

Daniela Dănciulescu, J. Anitha, S. Natarajan, Gabriel Stoian et al.
Traitement du signal
Animal Disease Management and Epidemiology
article

Real Time Disease Detection for Cattles and Pets and Tool for Veterinary Assistance and Farmers

Daniela Dănciulescu, J. Anitha, S. Natarajan, Gabriel Stoian, Gowtham Guruvayurappan, Jeniferraj Jeyaselvarayan, Guruprasath Lakshmikanth
article en

Abstract

This work helps veterinarians and farmers in predicting skin diseases of cattle and pets.A real-time skin disease detection device designed to assist veterinary doctors and farmers by providing rapid and reliable identification of common skin diseases in cattle and pets.The device integrates a Convolutional Neural Network (CNN) deep learning model deployed on a Raspberry Pi, which is both cost-effective and suitable for on-site usage.The camera module attached to the Raspberry Pi captures images of the animal's skin, and the model trained in TensorFlow Lite (TFLite) is optimized for efficient processing of these images locally.The predictions are immediately shown on an attached 162 LCD screen, which allows for fast assessment without the need for Internet connectivity.This fast tool supports prompt disease detection and intervention, thus empowering veterinary practitioners and farmers to better manage animal health in far-flung and rural areas.

Traitement du signalVol. 42(3)
Zero hunger
Openalex Percentile: Top 80%
Animal Disease Management and Epidemiology
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