Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2974
Title: IDairy: Intelligence and Secure E-Commerce Platform for Dairy Production and Distribution Using Block Chain and Machine Learning
Authors: Liyanage, I
Madhuwantha, N
Perera, M
Ruhunage, S
Mahaadikara, M. D. J. T. H
Rupasinghe, L
Keywords: IDairy
Intelligence
Secure
E-Commerce Platform
Dairy Production
Distribution
Using Block Chain
Machine Learning
Issue Date: 18-Jul-2022
Publisher: IEEE
Citation: I. Liyanage, N. Madhuwantha, M. Perera, S. Ruhunage, M. M. D. J. T. Hansika and L. Rupasinghe, "IDairy: Intelligence and Secure E-Commerce Platform for Dairy Production and Distribution Using Block Chain and Machine Learning," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, pp. 1-6, doi: 10.1109/I2CT54291.2022.9824112.
Series/Report no.: 2022 IEEE 7th International conference for Convergence in Technology (I2CT);
Abstract: The dairy industry plays an essential role in the Sri Lanka economy. The purpose of this study is to reduce the cost of import dairy products and increase the profit of the dairy industry. IDairy: Intelligence and secure e-commerce platform for dairy production and distribution using blockchain and machine learning has been suggested as a mobile application. As a first step, this research suggested four factors. Develop a business intelligence dashboard using predictive analysis and provide business solutions to dairy companies described the revenue for the coming month using machine learning and the earning data charts for years to come to display in the dashboard. Design IOT device to maintain the temperature of fresh milk cargo while transporting to productions and design smart contract to maintain the optimum temperature for the fresh milk harvest. Develop a system to identify the cows’ diseases using image processing the primary objective was identified cows’ Foot and Mouth diseases and provide notifications to milk farms about existing illnesses. Cows’ disease directly affects dairy productions. Develop a mobile application for farmers to store animal data, do profit calculation, including giving business solutions through the application with location tracking service. With this IDairy application, both farmers and production companies will be able to get an idea about their future profit and will be suggesting the business solutions.
URI: http://rda.sliit.lk/handle/123456789/2974
ISSN: 978-1-6654-2168-3
Appears in Collections:Department of Computer Systems Engineering
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications



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