Application of Genetic Algorithm to Derive an Optimal Cropping Pattern, in Part of Hirakud Command

  • Ashutosh Rath
  • Sandeep Samantaray
  • Sudarsan Biswal
  • Prakash Chandra Swain
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 710)


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.


Genetic Algorithm Hirakud command area Optimization CROPWAT ADV Flow Tracker 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Ashutosh Rath
    • 1
  • Sandeep Samantaray
    • 2
  • Sudarsan Biswal
    • 1
  • Prakash Chandra Swain
    • 1
  1. 1.Department of Civil EngineeringVeer Surendra Sai University of TechnologyBurlaIndia
  2. 2.Department of Civil EngineeringCollege of Engineering and TechnologyBhubaneswarIndia

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