Paper Key : IRJ************456
Author: Akanksha Nandkumar Bhosale,Suyash Mahavir Ahiwale,Riya Sunil Khuspe,Ankit Navnath Kalyani
Date Published: 04 Apr 2025
Abstract
Lumpy Skin Disease (LSD) is a concerning and contagious viral disease affecting cattle, distinguished by symptoms like fever, reduced milk production, and infertility, leading to major financial repercussions. To predict LSD infection in cattle with high precision, we aim to deploy machine learning. To achieve an F1 score of 98% and make them the most effective in detecting infected cattle, approximately ten classifiers will be trained on disease data with Random Forest and Light Gradient Boosted Machine (LGBM). To evaluate an accurate prediction of LSD occurring due to environmental conditions, we will feed these features (raw images of cattle) into machine learning models. A machine learning model called the Convolutional Neural Network (CNN) and ANN will be used for predicting LSD in cattle through their visual data that is images. This model will provide a robust framework for predicting Lumpy Skin disease in cattle using machine learning.Keywords: Lumpy Skin Disease (LSD), Random Forest, Light Gradient Boosted Machine, Artificial Neural Network (ANN), Forecasting, Disease Prediction.
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