Intelligent and Secure Cattle Health Monitoring System

Intelligent and Secure Cattle Health Monitoring System.

Introduction. Importance of Cattle Health.. 61.9% contribution to Agricultural Value added to GDP..

Deployment of custom body-area sensor nodes. Develop a backend software that will gather data from sensory nodes. Deploy and Integrate database to store collective information. Collecting real-time cow’s data to train the model of a neural network and use neural networks for disease prediction. Implementation of security schemes to authenticate sensor nodes from the base station and user at the front end. Full fledged responsive website of our proposed system..

Responsible consumption and production. Zero hunger. Industry, technological innovation and infrastructure. Good health and well being..

Start Sensor nodes Sensor node Yatmlits data authentication wirelessly Ver authentication Garbage data NO Data from tic Auåentic user Store in Navigate user to relevant Catde Care gocesses data by applying A1 algoriåm results along inpjt on web a*ication Stop.

Components: ESP 12E-8266 Raspberry Pi 4 Model B Dallas Temperature Sensor (DS18B20) GY61 Accelerometer KY-037 Sound Module LiPo battery 3.7v 1000mAh MQ138 Gas Sensor Max 30100 Oximeter.

Publish Collar Sensor Node MQTT Broker Publish Leg Sensor Node s obsc<ibe.

Data Collection for Artificial Neural Network.

TensorFIow. . Libraries for implementing ANN. seaborn.

x Temperature Bellowing bpm Acetone Leg Layer Healthy Cow Ketosis High-Fever Layer.

Security. Insider Security:. Security between the nodes and the base station.

Security. Outsider Security:. Security implementation on the website / app accessible by the user.

SQLite. Bootstrap 4. . Technologies for Web Application.

cattle care Home Features How it works Our team Contact us Sign up Monitor your cattle activity from Anywhere in the World Get Started.

Results. Sensor data successfully received at base station.

The cattle health monitoring system is capable of alerting the user of individual cattle health status data obtained from sensor nodes located in various body parts over a secure wireless communication channel.` The end-user will only be able to access information through the system’s web application after they have been authenticated by the health monitoring system. The user will be able to see predicted results from the ANN model with a performance measure evaluation of nearly 98%. This information will prove to be highly valuable for the end-user to foresee possible health diseases that may be communicable which will allow them to take appropriate precautionary measures within time limiting huge losses. The health monitoring system will not only help the end-user to increase their production but bring the attention of others to this industry..

Future Work. ANN model can be trained with a larger dataset for more diseases. Security of the system can be enhanced by using techniques such as facial recognition and other intrusion prevention methods. Solar rechargeable batteries can be used instead of Li-Ion batteries to guarantee a longer lifetime with energy-efficiency. The proposed system can bring a drastic change in the agriculture livestock if implemented..

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