International Journal of Engineering and Management Research
  • Year: 2023
  • Volume: 13
  • Issue: 4

Bird Flu Tracking System using Naive Bayes Classifier

  • Author:
  • Kedar Sawant1,*, Sairaj Kapadi2, Sakshi Kenavdekar3, Sanket Marathe4, Rhutik Parab5
  • Total Page Count: 6
  • Page Number: 152 to 157

1Computer Engineering, Agnel Institute of Technology and Design, Panaji, India

2Computer Engineering, Agnel Institute of Technology and Design, Panaji, India

3Computer Engineering, Agnel Institute of Technology and Design, Panaji, India

4Computer Engineering, Agnel Institute of Technology and Design, Panaji, India

5Computer Engineering, Agnel Institute of Technology and Design, Panaji, India

*Corresponding Author: ksa@aitdgoa.edu.in

Online Published on 12 October, 2023.

Abstract

Complexity in the food-related Supply chains also introduces economic inefficiency at every point of transaction, be it a poultry farmer or a distributor. Therefore, a system is required that tracks every point of Poultry transaction with an intuitive rather than minimal technology medium that can trace bird disease and maximize efficiency in operations at every level, from Poultry farm to Chicken Butcher/seller. A solution for farm-to-butcher/seller chicken tracker that rapidly traces bird flu while also providing a platform to maximize operational efficiency. To make the chain effective the proposed system needs enrolment at every level (Farmers, Distributors, Sellers) where poultry transactions can be recorded, and hence, our solution maximizes platform enrolment by cutting down the distributors’ labor costs by providing access to accounting and management tools and providing a one-stop marketplace to both distributors and farmers. With the ease of use of the RFID tagged system for distributors and sellers to tap and add batches to their inventory for easy supply chain management. The same data will also help in flu detection.

Keywords

H5N1, Influenza, Tracking, Poultry