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@article{195874,
        author = {DR PRITAM RAJENDRA PATIL and DR PRAVIN BALAJIRAO TAMSEKAR and MS. ARCHANA N.R. OZA},
        title = {Implementation of an integrated Artificial Intelligence Geographical information system for the purpose of water resource management:A review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1252-1256},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195874},
        abstract = {Growing global pressure on water supplies underscores the necessity for sophisticated, data-drive technologies to facilitate sustainable water resource management. This review assesses the deployment of integrated frameworks combining Artificial Intelligence (AI) and Geographical Information System (GIS), with a focus on their joint capacity to improve monitoring, analysis, and decision-making in water management. AI methods, including machine learning, deep learning, and expert systems, are being increasingly employed to enhance the accuracy of hydrological modelling, groundwater prediction, flood forecasting, and water quality evaluation. These approaches, when combined with GIS technology, facilitate the spatially explicit analysis and visualisation of intricate hydrological processes. This paper integrates existing research on AI-GIS integration, assesses the benefits and drawbacks of current applications, and highlights the primary technological developments driving progress in the water sector. The review concludes that GIS platforms enabled by AI have the potential to significantly enhance real-time water management, improve resource allocation, and support climate-resilient planning. Despite progress, issues persist with data access, model transparency and the requirement for cross-disciplinary team work. Future research should concentrate on creating AI-GIS solutions that are scalable, transparent, and user-oriented, in order to support sustainable and equitable management of water resources.},
        keywords = {Artificial intelligence (AI), Remote Sensing, Geographical Information System (GIS), Planning, Application.},
        month = {April},
        }