Cattle Disease Auxiliary Diagnosis System Based on Data Analysis

Author(s)	Harshitha A S, K M Sowmyashree
Country	India
Abstract	The primary goal of the proposed system is to identify the symptoms of cattle diseases and then forecast the relationship between symptoms, diseases, and treatments. The suggested method combines data science techniques to recognize the signs of cow sickness and forecast patterns. The proposed system employs the "Eclat algorithm" data science technique to identify the patterns. The system is intended to be developed as a real-time application that helps veterinarians treat cattle diseases.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 4, July-August 2023
Published On	2023-08-03
Cite This	Cattle Disease Auxiliary Diagnosis System Based on Data Analysis - Harshitha A S, K M Sowmyashree - IJFMR Volume 5, Issue 4, July-August 2023. DOI 10.36948/ijfmr.2023.v05i04.4562
DOI	https://doi.org/10.36948/ijfmr.2023.v05i04.4562
Short DOI	https://doi.org/gskd35

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International Journal For Multidisciplinary Research