Optimization of the Cropping Pattern Using Cuckoo Search Technique

  • Ashutosh RathEmail author
  • Sandeep Samantaray
  • Prakash Chandra Swain
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 374)


Agriculture is the major occupation of the people in Odisha state, India. More than seventy percentage of the population depend directly or indirectly on agriculture. In this work, cropping model is formulated for the study area to optimize the cropping pattern by using the Cuckoo Search technique to maximize the net annual benefit. The processes of crop planning and crop rotation have been given more emphasis, since optimal allocation of scarce water resources is highly necessary. To ensure correct assessment of the irrigation water availability, the sensor-based water measurement techniques such as ADV flow tracker and micro-ADV are used in the study. The crop water requirements of various crops are determined with CROPWAT software. The cropping models are developed by taking into account the opinion of local farmers and officials of agriculture department. The models are compared with the prevailing practice with respect to net annual benefits. The results indicate that that presently the farmers are getting benefits of 0.975 million USD. The cropping pattern suggested by LINDO yields a net benefit of 1.07 million USD per year. The optimal cropping pattern from Cuckoo Search technique yields a net benefit of 1.296 million USD.


ADV flow tracker micro-ADV LINDO Cuckoo Search Optimization 



The authors thank the officials of Hirakud Dam authority and District Agriculture office, Sambalpur, for providing necessary assistance at the time of need to conduct this research.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ashutosh Rath
    • 1
    Email author
  • Sandeep Samantaray
    • 1
  • Prakash Chandra Swain
    • 1
  1. 1.Department of Civil EngineeringVeerSurendraSai University of TechnologyOdishaIndia

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