Paper Title
Smart Cattle Disease Prediction & Breed Identification with Agri-Marketplace
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Registration ID: IJNRD_324006
Published ID: IJNRD2604591
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Abstract
The emergence of Industry 4.0 within the agricultural sector has facilitated the transition toward Precision Livestock Farming (PLF), a paradigm that integrates Information and Communication Technologies (ICT) to enhance animal welfare, productivity, and economic sustainability. This research explores the systematic integration of the Internet of Things (IoT) and Artificial Intelligence (AI) for the dual objectives of cattle breed identification and automated disease prediction. Given the substantial economic repercussions of transboundary animal diseases—with Foot and Mouth Disease (FMD) alone causing global losses of approximately $62 billion and Lumpy Skin Disease (LSD) imposing a $1.45 billion burden in Asia—the development of non-invasive, real-time monitoring systems is paramount. This report analyzes the deployment of deep learning architectures, specifically Convolutional Neural Networks (CNNs) for spatial feature extraction in skin lesion detection and breed categorization, alongside Recurrent Neural Networks (RNNs) for sequential behavioral analysis. Methodological frameworks such as "Dairy DigiD" utilize high-precision YOLOv11 surveillance and DenseNet121 classification, achieving 94.2% accuracy while maintaining real-time inference through edge computing. Furthermore, the study evaluates the efficacy of biometric markers, specifically muzzle patterns, which demonstrate 98.7% identification accuracy, offering a tamperproof alternative to traditional tagging. The synthesis of these technologies provides a scalable infrastructure for early intervention, potentially reducing disease detection intervals from several days to mere hours, thereby safeguarding global livestock-dependent economies.
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How To Cite (APA)
Disharth Patel, Utkarsh Chaudhari, Nishant Domadiya, Rohit Jaiswal, & Vaibhav Sawalkar (April-2026). Smart Cattle Disease Prediction & Breed Identification with Agri-Marketplace. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(4), f756-f764. https://ijnrd.org/papers/IJNRD2604591.pdf
Issue
Volume 11 Issue 4, April-2026
Pages : f756-f764
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Paper Reg. ID: IJNRD_324006
Published Paper Id: IJNRD2604591
Research Area: Other area not in list
Author Type: Indian Author
Country: Pune , Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2604591.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2604591
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