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Dr. M. Menaka is an Assistant Professor in the Department of Mathematics, Faculty of Liberal Arts and Business Studies, SRM Institute of Science and Technology, Vadapalani, Chennai, Tamil Nadu, India. Her academic interests include mathematics and its applications in emerging computational and analytical domains. She contributes to the development of intelligent approaches for water quality monitoring and environmental protection.
Cognitive agents can enhance traditional monitoring systems by perpetually assessing water-quality parameters, corroborating sensor data, amalgamating diverse environmental information, identifying irregularities, forecasting future water-quality scenarios, analysing potential contamination incidents, and producing suitable decision-making assistance. This section introduces a cohesive structure for water-quality surveillance and environmental safeguarding utilising intelligent agents. It addresses critical water-quality metrics, sensor networks, data collection, preprocessing, calibration, machine learning and deep learning forecasting, anomaly identification, pollution-source assessment, spatial water-quality mapping, early-warning systems, watershed surveillance, intelligent irrigation, aquatic ecosystem preservation, and autonomous environmental governance. Edge-cloud frameworks and multi-agent systems are analysed for extensive surveillance. The section further discusses elucidation, ambiguity, information security, data management, human supervision, and assessment techniques. Future investigative pathways concerning digital twins, self-governing aquatic robots, satellite-enhanced surveillance, federated learning, multimodal foundational models, and cooperative environmental agents are examined. The section highlights constrained independence, dependable perception, clear rationale, and human oversight as crucial tenets for the implementation of intelligent agents in environmental conservation.