IoT Based Sustainable Live Stock Health Monitoring System

Agriculture is the main source of income in rural areas. Animals such as cows, buffalo, sheep and goats play an important role in rural life. They serve as a source of income. Therefore, livestock farming becomes a very important concern. Therefore, maintaining cows and barns for commercial purposes is a tedious task. The proposed model deals with livestock health monitoring. Diseases are detected using Arduino-based sensors. Energy is collected in a vibration energy harvester which serves as the input power source for the sensor array. Monitoring the health of cows with this implementation is simple rather than being a time –consuming task. Health parameters measured in real time are displayed on a thing speak cloud channel to initiate control. The obtained data are compared with the optimum values before starting the control. In this project the energy is harvested with a vibrational energy harvester. This vibrational energy collector is placed under the cow’s walkway. The movement of the cow analyzes vibrations to generate energy. The simulation portion runs in ANSYS Mechanical Workbench software.