Current Science

Open Access Open Access  Restricted Access Subscription Access

DOMIS:A Decision Support System for Design and Cost Estimation of Micro-Irrigation Systems


Affiliations
1 Water Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
2 National Bureau of Soil Survey and Land Use Planning, Salt Lake City, D. K. Block, Sector-II, Bidhan Nagar, Kolkata 700 091, India
3 Department of Land Resources, NBO Building, G-Wings, Nirman Bhawan, Moulana Azad Road, New Delhi 110 011, India
 

The decision support system (DSS), namely Design of Micro Irrigation Systems (DOMIS) has been developed to design drip, sprinkler and micro-sprinkler irrigation systems. This provides expert opinion for optimal layout plans for MI system design by using the necessary data on crops, soil characteristics, groundwater and agri-climatic conditions as default options with a provision to modify as preferred by the user. The design includes selection of pipe sizes, pumping system, filters and fertilizer application systems along with possible shifts per day in case of sprinkler irrigation system and total time of irrigation. The web-based system (http://domis.iari.res.in) uses scientific algorithms and expert suggestions; the flexibility of DSS and ease of use make the DSSDOMIS a superior tool for designing micro-irrigation systems with a view to enhance water productivity in agriculture. It also provides general information about different Government schemes, central and state agencies promoting micro irrigation, approved system suppliers in different states and general information about different districts in the country. The DSS helps farmers as well as policy makers and researchers obtain optimal design and cost estimates of a micro-irrigation system.

Keywords

Decision Support System, DOMIS, Microirrigation Software, Micro-irrigation System Design, Precision Farming Software.
User
Notifications
Font Size

  • Hatfield, J. L., The future demands efficiency. Resour. Mag., 2011, 18(1), 1.

  • Hsiao, T. C., Pasquale, S. and Elias, F., A systematic and quantitative approach to improve water use efficiency in agriculture. Irrigation Sci., 2007, 25(3), 209–231.

  • Bongiovanni, R. and Lowenberg-DeBoer, J., Precision agriculture and sustainability. Precis. Agric., 2004, 5(4), 359–387.

  • Aubert, B. A., Schroeder, A., and Grimaudo, J., IT as enabler of sustainable farming: An empirical analysis of farmers’ adoption decision of precision agriculture technology. Decis. Support Syst., 2012, 54(1), 510–520.

  • Rijsberman, F. R., Water scarcity: fact or fiction? Agric. Water Manage., 2006, 80(1–3), 5–22.

  • Pereira, L. S., Oweis, T. and Zairi, A., Irrigation management under water scarcity. Agric. Water Manage., 2002, 57(3), 175–206.

  • Rajendra, P., Population growth, food shortages and ways to alleviate hunger. Curr. Sci., 2013, 105(1), 32–36.

  • Wavhal, D. N., Giri, M. and Ghumatkar, S., Decision support system for drip irrigation. Int. J. Emerging Technol. Adv. Eng., 2014, 4(4), 669–675.

  • Monaghan, J. M. et al., More ‘crop per drop’: constraints and opportunities for precision irrigation in European agriculture. J. Sci. Food Agric., 2013, 93(5), 977–980.

  • Shim, J. P. et al., Past, present, and future of decision support technology. Decis. Support Syst., 2002, 33(2), 111–126.

  • Finlay, P. N., Introducing Decision Support Systems, NCC Blackwell, Oxford, 1994, p. 274.

  • Pedras, C. M. G., Pereira, L. S. and Gonçalves, J. M., MIRRIG: A decision support system for design and evaluation of microirrigation systems. Agric. Water Manage., 2009, 96(4), 691–701.

  • Michael, A. M., Drip irrigation system – an overview. Irrigation Resour., 2014, 183.

  • Thysen, I. and Detlefsen, N. K., Online decision support for irrigation for farmers. Agric. Water Manage., 2006, 86(3), 269–276.

  • Patel, N. and Rajput, T. B. S., DRIPD – A software to design drip irrigation system for orchards as well as field crops. J. Indian Water Resour. Soc., 2002, 22(2), 103–106.

  • Bazzani, G. M., An integrated decision support system for irrigation and water policy design: DSIRR. Environ. Modell. Softw., 2005, 20(2), 153–163.

  • Krishna, R. B. and Rajput, T. B. S., Decision support system for efficient water management in canal command areas. Curr. Sci., 2009, 97(1), 90–98.

  • Shim, J. P. et al., Past, present, and future of decision support technology. Decis. Support Syst., 2002, 33(2), 111–126.

  • Power, D. J., A brief history of decision support systems. DSS Resources. COM, World Wide Web, 2007; http://DSSResources.COM/history/dsshistory.html, version 4.

  • Rajput, T. B. S. and Neelam, P., User’s guide for DRIPD: a software for designing drip irrigation system. User’s guide for DRIPD: a software for designing drip irrigation system, IARI, New Delhi, 2003.

  • Friedman, S. P., Communar, G. and Gamliel, A., DIDAS–Userfriendly software package for assisting drip irrigation design and scheduling. Comput. Electron. Agric., 2016, 120, 36–52.

  • Kale, R. V., Singh, R. P. and Mahar, P. S., Optimal design of pressurized irrigation subunit. J. Irrig. Drain. E-ASCE, 2008, 134(2), 137–146.

  • Rajput, T. B. S., Drip Irrigation Manual. Water Technology Centre, Indian Agricultural Research Institute, 2001.


Abstract Views: 410

PDF Views: 162




  • DOMIS:A Decision Support System for Design and Cost Estimation of Micro-Irrigation Systems

Abstract Views: 410  |  PDF Views: 162

Authors

Neelam Patel
Water Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
T. B. S. Rajput
Water Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
Deepak Kumar Dinkar
Water Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
Sita Ram
National Bureau of Soil Survey and Land Use Planning, Salt Lake City, D. K. Block, Sector-II, Bidhan Nagar, Kolkata 700 091, India
Sushil Kumar Singla
Department of Land Resources, NBO Building, G-Wings, Nirman Bhawan, Moulana Azad Road, New Delhi 110 011, India

Abstract


The decision support system (DSS), namely Design of Micro Irrigation Systems (DOMIS) has been developed to design drip, sprinkler and micro-sprinkler irrigation systems. This provides expert opinion for optimal layout plans for MI system design by using the necessary data on crops, soil characteristics, groundwater and agri-climatic conditions as default options with a provision to modify as preferred by the user. The design includes selection of pipe sizes, pumping system, filters and fertilizer application systems along with possible shifts per day in case of sprinkler irrigation system and total time of irrigation. The web-based system (http://domis.iari.res.in) uses scientific algorithms and expert suggestions; the flexibility of DSS and ease of use make the DSSDOMIS a superior tool for designing micro-irrigation systems with a view to enhance water productivity in agriculture. It also provides general information about different Government schemes, central and state agencies promoting micro irrigation, approved system suppliers in different states and general information about different districts in the country. The DSS helps farmers as well as policy makers and researchers obtain optimal design and cost estimates of a micro-irrigation system.

Keywords


Decision Support System, DOMIS, Microirrigation Software, Micro-irrigation System Design, Precision Farming Software.

References





DOI: https://doi.org/10.18520/cs%2Fv115%2Fi12%2F2240-2248