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AI-Based Poultry Disease Detection Using Fecal Image Classification with EfficientNetV2
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence and Machine Learning
DOI: https://doi.org/10.64388/IREV9I9-1714986
Abstract
In this paper, an AI-based poultry disease detection system is presented using fecal image classification. Four poultry health conditions, such as Coccidiosis, Healthy, Newcastle Disease, and Salmonella, are classified using the transfer learning method with EfficientNetV2B0. In the experiment, the model achieved an approximate 98 percent accuracy with high precision and recall values for the classes. The proposed system is beneficial to the farming community as it is cost-effective and allows the detection of poultry diseases in their early stages. Farmers can use the proposed system to diagnose their poultry diseases by uploading the images of their feces into the proposed system.
Keywords
Deep Learning, EfficientNetV2, Poultry Disease Detection, Transfer Learning, Image Classification
How to cite this paper
@article{1714986,
author = {Naren TNJ, Anjali K, Sandesh S, Ajaykumar B},
title = {AI-Based Poultry Disease Detection Using Fecal Image Classification with EfficientNetV2},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {897-901},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1714986.pdf},
abstract = {In this paper, an AI-based poultry disease detection system is presented using fecal image classification. Four poultry health conditions, such as Coccidiosis, Healthy, Newcastle Disease, and Salmonella, are classified using the transfer learning method with EfficientNetV2B0. In the experiment, the model achieved an approximate 98 percent accuracy with high precision and recall values for the classes. The proposed system is beneficial to the farming community as it is cost-effective and allows the detection of poultry diseases in their early stages. Farmers can use the proposed system to diagnose their poultry diseases by uploading the images of their feces into the proposed system.},
keywords = {Deep Learning, EfficientNetV2, Poultry Disease Detection, Transfer Learning, Image Classification},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1714986}
}