RESTORING THE GLOBAL ECOSYSTEM HEALTH THROUGH ARTIFICIAL INTELLIGENCE: A SUSTAINABLE APPROACH

Abstract

The harmful human acts in recent years have caused serious reactions on the ecosystem. It has caused serious implications on the three crucial components of the ecosystem i.e. soil, air and water. The rapid industrialization has led to release of harmful effluents in the ecosystem. The release of harmful industrial pollutants in air, water and soil is causing climate change and studies depict that there is a steep global rise in temperature of one degree Celsius. Various efforts around the globe are made to handle this critical situation of ecosystem damage. Artificial intelligence or machine learning is one such modern-day tool, which is proving to be an effective means to handle the current critical crisis on ecosystem health. In this investigation, it is being studied whether artificial intelligence is proving to be effective in combating ecosystem damage. The conclusion of the study reveals that artificial intelligence or machine learning is proving to be quite effective in restoring global ecosystem health.

Keywords

• global ecosystem
• artificial intelligence
• ecosystem health
• ecosystem sustainability