Ingenious Cattle Monitoring System for Early Detection of Disease Using Deep Learning Techniques

Abstract

Agriculture is considered as the backbone of our country. Its revenue is dependent on two ways: one is Natural resources and the other one is Farming; we cannot always depend on natural resources like Rainfall and Temperature. Agriculture is not about growing plants it also includes rearing of domestic animals like pig farming, hen framing and also cattle farming. In our proposed work we concentrate on cattle farming because recently cattle are affected by different diseases like Bovine spongiform encephalopathy and bovine viral diarrhoea. Existing solutions are from IOT domain using different types of sensors. But our idea is to build a solution for this problem statement using a deep learning model that helps people to have awareness on cattle health maintenance. It also prevents from spreading this disease from cattle to other cattle. The Convolution Neural Network (CNN) is used to train the model and also to have an easy interaction with the user. In the proposed work, a web application is also built through which the result for the given image can be obtained.