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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(3): 334-345
DOI: https://doi.org/10.20546/ijcmas.2018.703.039


Optimum Size of On-Farm Reservoir using Dynamic Programming
Mithlesh Kumar1*, SanjeebPaul1, Sudhindra N. Panda1 and B. Panigrahi2
1Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur-721 302, West Bengal, India
2Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Orissa University of Agriculture and Technology,
Bhubaneswar-751003, Odisha, India
*Corresponding author
Abstract:

Uneven distribution pattern of monsoon rain and highly permeable soil type and poor rainwater management practices effect the crop yield. Also lands remain barren in winter season due to lack of rainfall. A Dynamic Programing (DP) model is developed to allocate optimum supplemental irrigation to crop for receives maximum net annual return from the cropped area under land and water availability constraints in the OFR based rainfed agricultural system. This model requires soil data, crop data, meteorological data and different level of water management strategies as inputs. The model integrates the dynamics associated with the water released by supplemental irrigation from the OFR to the actual water utilized by the crops at farm level. It also takes into account the non-linear relationship of root growth, soil moisture dynamics for multiple crops and yield response to water deficit at various growth stages of the crops. Apply this model to 800 m2fields that the optimum size of the OFR varies with the combination of the crop (rice or rice - mustard) and the size of OFR reduces in 15% soil moisture depletion factor than 10% soil moisture depletion factor also the OFR size is less for rice than rice – mustard scenario. For 10% soil water depletion for rice (from saturation) and mustard (from field capacity) crops, the optimum size of OFR varied from 5.35% to 9.85%. Similarly, for 15% soil water depletion it varied from 5.05% to 9.35%.


Keywords: Dynamic programing, Supplemental irrigation, On-farm reservoir, Rainfed agriculture, Water management
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How to cite this article:

Mithlesh Kumar, SanjeebPaul, Sudhindra N. Panda and Panigrahi, B. 2018. Optimum Size of On-Farm Reservoir using Dynamic Programming.Int.J.Curr.Microbiol.App.Sci. 7(3): 334-345. doi: https://doi.org/10.20546/ijcmas.2018.703.039