Animal Health Monitoring System

Project Title

Project Area of Specialization

Artificial Intelligence

Project Summary

Our project is about detection of Animal diseases from Image processing. Since we know the animal sector plays an important role in providing the world population with major protein and fat supply and as a major contributor to global food security their protection and good health maintenance is very important besides each life matters alot. Currently, disease management, symptoms classification and diagnosis are manually performed which are very time consuming and due to late detection animals may die. When animals suffer from any disease they cannot speak and due to late detection of symptoms they may die. We need to observe them carefully for early detection of their disease so we may protect them from dying. If there is a large group of animals we cannot detect behaviour of each animal because it is very difficult to detect unusual behaviour so we can use image processing techniques to detect animal disease.In our system we will provide animals with tags and each tag with a code. Cameras will be placed at the area where there are animals and their behaviour will be observed and if any unusual behaviour of animal is seen then that tag will be pointed out and that animal will be cured on time. From this the probability of animal dying can be decreased. Accuracy of disease detection is more than 90% from image processing and detection of infectious disease outbreaks can reduce the ultimate size of the outbreak, with lower overall morbidity and mortality due to the disease so for this purpose we have to perform some operations on an image, in order to get information about the disease or to extract some useful information from it.

Project Objectives

The main objective of our project is to detect any abnormal change in the behaviour of cattle so we can treat it on time. In this project the probability of detection of disease in cattle is 90%. So in this way we can detect the disease in cattle on time and it can be treated before the infection becomes the cause of its death or becomes a source of an outbreak of an infection. We will be using AI for this project. It will be time consuming but we can do it in 1 year at maximum.

Project Implementation Method

For the implementation of our project we will be using IP bullet cameras. The cattles will be provided with tags and the movement of cattles in the farmhouse will be observed closely through these cameras. This process will continue 24/7. If there is any unusual behaviour that tag will be pointed out and that cattle will be observed and its issue can be resolved on time. So from early detection, the cattle can be treated and we can save the life of the cattle from any kind of infections.This is one of the major issues which Pakistani farmhouse holders are facing and if there is any outbreak of disease than it can be detected on time and in this way life of so many cattles can be saved. For implementation of our project we will be using Artificial Intelligence. In Artificial Intelligence, Machine learning techniques will be used to design a model that will do tasks and will help us to know about the disease of the animal and we can save animals from diseases before they get affected. For this purpose an app can also be designed that can help us to perform all these tasks.

Benefits of the Project

Since we know cattle are the most common and widespread species of large ruminant livestock and are raised primarily to produce milk, meat and hides and to provide draft power so their life matters a lot and to protect them from dying we are designing this project.Through early detection of infections in cattles they can be treated on time and their death rate can be decreased. Pakistan is an underdeveloped country and the livestock sector contributes about 56.3% of the value of agriculture and nearly 11% to the agricultural gross domestic product. So there is a big need to save the lives of cattles as they contribute a lot to our country. If cattles of any farm are infected then it can cause an effect to the agriculture and domestic products. Early detection can help us to save money as they can be treated on time and their production can not be affected for longer duration. Through image processing we can detect the disease in a short time. The livestock farms are located at remote places and the communication between the veterinary doctor and the farmer is poor and takes a long time and is expensive.This can be overcome by utilisation of the digital technology. Digital image processing of the microscopic pictures with high resolution cameras from the samples of the animals will provide a platform for automation of this process.

Technical Details of Final Deliverable

The probability of analysis of our project is 90% and in this way we can save the lives of so many cattles. Early detection of disease of cattle can help us to treat the cattles on time and in this way they can be protected from different infections and from fatal diseases. In this process the technique we are going to use is to speed up image recognition through Neutral engine.Through image processing we can have all the data and since we have records in the form of images so images will be used to get to know the desired results.