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@article{206190,
        author = {Bonde N U and Manekar V L and Morankar D V},
        title = {OPTIMAL RESERVOIR WATER RELEASE POLICY FOR THE SEASONAL WATER YIELD RESERVOIR USING ARTIFICIAL INTELLIGENCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {495-501},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206190},
        abstract = {The present study focuses on the development of the Conjunctive model for the Pench Irrigation project. As the climate is changing, more and more area is turning into water deficit for irrigation. It’s always challenging for the authority to allocate crop area and water resources in such a way that farmers should not be in the loss. Artificial Neuro Fuzzy interface system ANFIS-GA optimization model is used in this for optimization of surface and groundwater (GW) resources in the Pench Irrigation Project. The results show that the command area's GW allotment is significantly reduced, and GW withdrawal may also be limited to recharge in order to preserve the equilibrium between rivers and aquifers. The ANFIS-GA model was subject to continuity, release, and demand constraints. The initial random search of the GA model was carried out with the probability of crossover of 0.80 that of mutation as 0.02, and with a population size of 100 to find the optimal releases. The GA model resulted in an optimized release.},
        keywords = {ANFIS, Reservoir Operation, Optimization, Release},
        month = {July},
        }