Use of Artificial Intelligence in Environmental Studies

Abstract

Man has caused enormous damage to the environment in the recent years and the implications of his activities have rebound in form of climate change, global warming, biodiversity loss, pollution problems water crisis and desertification, and several others. AI has been impacting man in diverse fields affecting jobs, education, marketing, healthcare, diagnostics, environment and others. The use of Artificial intelligence (AI) in solving environmental issues with deep learning and use of NLP models to assess energy usage, carbon footprint and others have a great potential in the near future. AI has been most efficient in addressing the environmental issues by using data -classification, predictive-analysis and comprehending the data, operational optimization that suggest the course of actions to be implemented, detection of errors and defects in analytical methods. The role of AI in assessment of biodiversity loss, identifying factors, prediction of biodiversity protection, has been reviewed in this paper. The use of AI has been in correlation with data obtained from satellite imagery, camera traps, acoustic and thermal biosensors along with the use of drones, aircraft and other modern gadgets that have enhanced the efficiency of analysis and interpretation hundred folds. AI has been applied in diverse fields of environment aiding in the conservation, protection, and sustainability of the environment combined with preventive measures against pollution.