Abstract
Proper management with available limited water resources is to be given top priority to meet the threat of food security due to increase in population. Establishment of a new major irrigation project is a challenging task due to social, environmental and other multiple causes. The present study is conducted on Senhapali Canal, a distributary of Hirakud system in Sambalpur District of Odisha State, India, which is very close to Hirakud Dam over River Mahanadi. In the present work, experiments are conducted to develop a suitable cropping pattern through optimization techniques like LINDO and Genetic Algorithm. The developed cropping pattern gives net returns of Rs. 585 lakhs while using LINDO and Rs. 590.07 lakhs if GA is used. Hence, the cropping pattern obtained by using Genetic Algorithm may be adopted by the farmer to get more net returns than the existing one adopted by farmers.
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References
Azamathulla, H. Md., Wu, Fu-C., Ghani, A.Ab., Narulkar, S.M.: Zakaria, N.A., and Chang, C.K.: Comparison between genetic algorithm and linear programming approach for real time operation. J. Hydro-environ. Res. (2008) 172–181.
Banik, P., Tiwari, N.K., and Ranjan, S.: Comparative crop water assessment using CROPWAT. International Journal of Sustainable Materials, Processes & ECO-Efficient – IJSMPE. (2014) Volume 1: Issue 3.
Frizzone, J.A., Coelho, R.D., Neto, D. Dourado., and Soliani, R.: Linear programming model to optimize the water resource use in irrigation projects: an application to the Senator Nilo Coelho Project. Sci.agric. (Piracicaba, Braz.). (1997) Vol. 54.
Kumar, D.N., Raju, K.S. and Ashok, B.: Optimal reservoir operation for Irrigation of Multiple Crops Using Genetic Algorithm. Journals of Irrigation and Drainage Engineering. (2006) Vol. 132, No. 2, April 1, 2006, ASCE, ISSN 0733-9437/2006/2-123-129.
Mehdipour, E. Fallah., Haddad, O. Bozorg., and Mariño, M.A.: Extraction of Multi-crop planning rules in a reservoir System: Application of Evolutionary Algorithms. Journal of Irrigation and Drainage Engineering. (2013) Vol. 139, No. 6.
Singh, A.: Optimizing the Use of Land and Water Resources for Maximizing Farm Income by Mitigating the Hydrological Imbalances. Journal of Hydrologic Engineering. (2014) Vol. 19, No. 7, July 1, 2014. © ASCE, ISSN 1084-0699/2014/7-1447-1451013. ASCE, ISSN 0733-9437/2013/6-490-498.
Srivastava, P., Hamlet, J.M., Robillard, P.D., and Day, R.L.: Watershed optimization of best management using AnnAGNPS and a genetic algorithm. Water Resour. Res. (2002) 38(3), https://doi.org/10.1029/2001wr000365.
Yang, C.-C., Chang, L.C., Chen, C.-S., and Yeh, M.-S.: Multi-objective planning for conjunctive use of surface and subsurface water using genetic algorithm and dynamics programming. Water Resour. Man. (2009).
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Rath, A., Samantaray, S., Biswal, S., Swain, P.C. (2018). Application of Genetic Algorithm to Derive an Optimal Cropping Pattern, in Part of Hirakud Command. In: Pattnaik, P., Rautaray, S., Das, H., Nayak, J. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-7871-2_68
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DOI: https://doi.org/10.1007/978-981-10-7871-2_68
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