Abstract
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.
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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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Rath, A., Samantaray, S., Swain, P.C. (2019). Optimization of the Cropping Pattern Using Cuckoo Search Technique. In: Mishra, M., Mishra, B., Patel, Y., Misra, R. (eds) Smart Techniques for a Smarter Planet. Studies in Fuzziness and Soft Computing, vol 374. Springer, Cham. https://doi.org/10.1007/978-3-030-03131-2_2
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