Water Body Research Of Artificial Intelligence From Chandan Prasad Holla

Water Body Research Of Artificial Intelligence Artificial intelligence (AI) has been increasingly applied to waterbody research, particularly in monitoring and assessing water quality. Recent studies have utilized AI models such as Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and hybrid approaches to predict parameters like Biochemical Oxygen Demand (BOD) and other indicators of water health. These models have demonstrated high accuracy in various regions, including Iran and Southeast Asia. link.springer.com Despite these advancements, there remain areas that warrant further investigation. For instance, while AI tools have been developed to support Water Quality Index (WQI) and Water Quality Classification (WQC) predictions, the diversity of datasets and locations poses challenges for model replication and generalization. Short-term studies, often due to limited long-term monitoring data, may not capture the full variability of wa...