International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022
p-ISSN: 2395-0072
www.irjet.net
Application to Predict Cattle Disease Pattern using ML Akhil B Shinde, Rahul Singh, Sanjay C B, Vishwanath S Babshet JSSSTU Department of Computer Science Mysore-570006 ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - With the rise in quantity of affected person and
Year of Publications: 2014
ailment each year clinical tool is overloaded and with time have become overpriced in many nations.... Most of the disease involves a consultation with doctors to get treated. With sufficient data prediction of disease by an algorithm can be very easy and cheap. Prediction of disorder by searching on the symptoms is a fundamental a part of treatment. In our assignment we've attempted precisely to predict a sickness by way of looking at the signs of the infected cattle. We have used different algorithms for these purpose and gained an accuracy of 80-95%. Such a system can have a very large potential in medical treatment of the future. We have also designed an interactive interface to facilitate interaction with the gadget. We have also attempted to show and visualized the result of our study and this project.
Description The aim of this paper is to present the work of growing cellular smart gadgets for livestock illnesses diagnosis and first resource motion proposal systems. The core sensible engine of the device is evolved the use of fuzzy neural network. In the sense of ubiquity of smartphones, the user interface is developed as mobile application under Android operating system. Methodology fuzzy neural network Limitations
Key Words: eclat algorithm, lesk based algorithm,etc.
1. INTRODUCTION With the fast development of large facts technology and artificial intelligence, information analysis and data mining are becoming more and more widely used in animal husbandry. In this gadget, a big quantity of multi-source livestock electronic scientific file statistics are amassed And used the statistics analysis and mining era to realise the smart diagnosis machine for farm animals-diseases. Manual process of identifying the cattle disease and treatment is too complex and time consuming and also expensive. These systems simply collects the records, stores in database and retrieves the equal in destiny, but no extraction of useful information which helps the medical practitioners to handle the cattle disease in a better way. Association might be the higher regarded and most familiar and easy records technological knowledge technique. Here, we make a simple correlation between two or more items, often of the same type to identify patterns.
Android app is advanced, visualization hassle on education records-units.
Year of Publications: 2017 Description Productive online cattle health monitoring can help those farmers who suffer on a regular basis due to the poor health condition of their cattle and unavailability of good veterinary doctors in their vicinity. In this paper, we gift such tools which provides an opportunity to the farmers to screen and examine the existing health parameters of the farm animals with the usual reference healthful parameters, by means of which they would be able to spot any deterioration inside the cattle’s health.
Title: “Developing Mobile Intelligent System For Cattle Disease Diagnosis and First Aid Action Suggestion” Author: Wiwik Anggraeni,A.Muklason, A.F.Ashari,Wahyu A. and Darminto
Impact Factor value: 7.529
Title: “Cattle health monitoring system using Arduino and LabVIEW for early detection of diseases” Author: Kunja Bihari Swain, Satyasopan Mahato, Merina patro,sudepta kumar pattnayak
Paper1
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Only suitable for first aid action, not suitable for complex disease.
Paper 2
1.1 Existing System
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Methodology Arduino UNO, Arduino NANO, Xbee module and different types of sensors for taking the cattle body parameters have been used.
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