Enabling Technologies for Wildlife Conservation

摘要

Wildlife conservation has always been a majorconcern on a global scale, but with the advent of Industry 4.0, or the fourth Industrial Revolution, the use of smart, intelligent technology to safeguard biological wildlife has increased significantly. The technology also facilitates to monitor species and their habitat in novel ways. The paper reviews various methodologies of wildlife conservation using drones which includes radiotracking, GPS and Non- GPS transmitters, Unmanned aerial vehicles or Robotics aircrafts. The Artificial Intelligence reviews the methods including Convolutional Neural Network, Machine learning and Deep learning algorithms. Lastly, the paper demonstrates recommendation and the limitations which are possessed by various models of wildlife conservation and come up with different suggestions for the assurance of wildlife heritage effectively and efficiently. The current state of wildlife conservation is largely based on various technological models of Industrial revolution which was earlier continued by sociocultural conventional sources based on human intelligence only.