The fast progress in environmental science and monitoring technologies has headed to a big deal of growth in the quantity and complexity in data generation. The environmental study demands more innovative and powerful computational and data analytical methods. Data analytical focus on having less dependence on previous knowledge. In this context, machine learning (ML) has shown as a promising tool in tackling complex data patterns due to their powerful fitting abilities. Therefore, the past few year has seen a quick development of ML, particularly deep learning (DL). Henceforth, in this communication some research work environmental science related topic by using Artificial Intelligence/Machine Leaning (AI/ML) approaches will be introduced. Furthermore, diverse startup, spin-off, Small and Medium Enterprises (SMEs), and also some Tech companies, etc. are increasing the use of AI-based environmental science.