As the modern world is progressing towards technological advancements
year by year, the human species is endangering other species in land, water, and air.
The very existing industrial advancement is focusing on human needs only and now the
situation is worsening due to the natural impacts of animal species. Due to these
compelling reasons, the Internet of Things has come to the rescue of endangered
species. We are replacing IoT with explainable artificial intelligence due to the fact that
XAI will address the black box problem of AI. In our paper, we incorporate the specific
robust elements of XAI to provide a framework that will give results that are useful for
researchers who are responsible for protecting endangered species. The XAI model has
higher accuracy and is cost-effective during deployment which makes the proposed
approach even more promising.
Keywords: Biodiversity, Explainable AI, Endangered species, IoT, Poachers, Sensors, Security.
