Sustainable Application of Artificial Intelligence in Biomonitoring for Environmental Sustainability: Challenges and Prospects

The present status of artificial intelligence (AI) and the Internet of Things (IoT) research is primarily concerned with the ways in which these technologies may contribute to sustainable development and the common good. The accomplishment of significant environmental sustainability using AI has now attracted researchers to cope with current environmental challenges related to biomonitoring and control of pollution, preventing the endangered species, conquering climate change, integrated waste management, and so forth. Biomonitoring deals with the measurement of the level of pollutants in an organism that is responsible for physiochemical, molecular, and genetic alteration in cells, tissues, and organs. Biomonitoring can maintain the quality of the environment. Although the IoT and AI have tremendous benefits, e.g., automation, time saving, unbiasedness, auto calibration, the ability to do tasks in harsh environmental conditions, fast and accurate forecasting, and alike. But, on the other hand, it could lead to high energy consumption, generating lots of toxic e-waste, higher costs, unemployment, emotionlessness, a lower rate of creativity, etc. Hence, the presentation and the right blend of AI, IoT, and humans for a sustainable and eco-friendly environment need to be established. Moreover, the prime concern is the management of complex data security and consistent and strong internet connectivity throughout the cities and villages.