Current Science

Open Access Open Access  Restricted Access Subscription Access

Conceptualization of Community-Based Integrated Farming System Model Design with Multi-Objective Optimization Management


Affiliations
1 Hydrology and Engineering Division, ICAR-Indian Institute of Soil and Water Conservation, 218-Kaulagarh Road, Dehradun 248 195, India
2 ICAR-Indian Institute of Water Management, Bhubaneswar 751 023, India
 

Effective utilization of land and water resources is attempted in the present study through an integrated farming system and multi-objective optimization management framework model using goal programming algorithm in a coastal waterlogged paddy area in Odisha, India. A methodology is developed to identify the water harvesting structure locations in the study area using spatial science tool. Due to the uncertainty of parameters and control variables, development of management framework was considered with 85% and 75% probability of rainfall occurrence and runoff generation. To incorporate the uncertainties, a multi-objective linear goal programming optimization model is developed considering the objective of maximizing the net annual return and production subject to optimal allocation of land. While evaluating the model for different water resources scenarios, the net annual return is found to be Rs 4,343,474 and maximum production is 10,424 q from scenario I, whereas maximum production of 10,980 q is obtained in scenario II. Tomato and rice cultivation area increased from 11.47 to 21.43 ha and 8.82 to 10.48 ha respectively in scenario II. The developed methodology shows the potential applicability in similar farming situations in other areas.

Keywords

Integrated Farming System, Land and Water Resources Management, Linear Goal Programming, Multiobjective Optimization.
User
Notifications
Font Size

  • Kumar, S. and Jain, D. K., Are linkages between crops and livestock important for the sustainability of the farming system? Asian Econ. Rev., 2005, 47(1), 90–101.

  • http://www.indiaonlinepages.com/population/india-current-population.html

  • FAO, World agriculture: towards 2030/2050 – Interim report, Food and Agricultural Organization of United Nations, Rome, Italy, 2006.

  • http://www.thehindu.com/opinion/columns/sainath/over-2000-fewer-farmersevery-day/article4674190.ece

  • SAC, Reports on coastal zones of India, Space Application Centre, Ahmedabad, 2012.

  • Keating, B. A. and Mccown, R. L., Advances in farming systems analysis and intervention. Agric. Syst., 2001, 70, 555–579.

  • Thornton, P. K. and Herrero, M., Integrated crop – livestock simulation models for scenario analysis and impact assessment. Agric. Syst., 2001, 70(2), 581–602.

  • Behera, U. K., Yates, C. M., Kebreab, E. and France, J., Farming systems methodology for efficient resource management at the farm level: a review from an Indian perspective. J. Agric. Sci., 2008, 146(5), 493–505.

  • Gill, M. S., Singh, J. P. and Gangwar, K. S., Integrated farming system and agriculture sustainability. Indian J. Agron., 2009, 54(2), 128–139.

  • AICRP on IFS, Annual Report 2010–2011. Project Directorate Systems Research (ICAR), Modipuram, Meerut, India, 2011, p. 198.

  • Kumar, S., Singh, S. S., Shivani and Dey, A., Integrated farming systems for Eastern India. Indian J. Agron., 2011, 56(4), 297–304.

  • Nayak, R. C. and Panda, R. K., Integrated management of a canal command in a river delta using multi-objective techniques. Water Resour. Manage., 2002, 15(6), 383–401.

  • Xevi, E. and Khan, S., A multi-objective optimization approach to water management. Environ. Manage., 2005, 77(4), 269–277.

  • Amini Fasakhodi, A., Nouri, S. H. and Amini, M., Water resources sustainability and optimal cropping pattern in farming systems; a multi-objective fractional goal programming approach. Water Resour. Manage., 2010, 24(15), 4639–4657.

  • Sethi, L. N., Panda, S. N. and Nayak, M. K., Optimal crop planning and water resources allocation in a coastal groundwater basin, Orissa, India. Agric. Water Manage., 2006, 83, 209–220.

  • Panigrahi, D., Mohanty, P. K., Acharya, M. and Senapati, P. C., Optimal utilisation of natural resources for agricultural sustainability in rainfed hill plateaus of Orissa. Agric. Water Manage., 2010, 97(7), 1006–1016.

  • Mandal, U., Dhar, A. and Panda, S. N., Integrated land and water resources management framework for Hirakud canal subcommand (India) using gray systems analysis, J. Water Resour. Plann. Manage., 2013, 139(6), 733–740.

  • Sekar, I., Mcgarigal, K., Finn, J. T., Ryan, R. and Randhir, T. O., Dynamic simulation modelling to evaluate best management practices in integrated farming systems. Indian J. Soil Conserv., 2001, 40(2), 166–172.

  • USDA (Soil Conservation Service), SCS National Engineering Hand Book. Section 4, Hydrology, USDA, Washington, DC, 1972.

  • http://power.larc.nasa.gov/cgi-bin/cgiwrap/solar/agro.cgi?email=agroclim@larc.nasa.gov

  • Charnes, A. and Cooper, W. W., Management Models and Industrial Applications of Linear Programming, Vol. I and Vol. II, John Wiley, New York, USA, 1961.

  • Rao, K. V. R., Runoff estimation from daily total rainfall using curve number with varying site moisture. J. Irrig. Drain. Div., ASCE, 1995, 105, 439–441.

  • FAO, 1986; http://www.fao.org/docrep/S2022E/S2022E00.htm

  • Hargreaves, G. H. and Samani, Z. A., Reference crop evapotranspiration from temperature. Appl. Eng. Agric., 1985, 1, 96–99.

  • Allen, R. G., Pereira, L. S., Raes, D. and Smith, M., Guideline for computing crop water requirement. Irrigation and Drainage Paper No. 56, FAO, Rome, Italy, 1998.

  • Sharda, V. N., Sena, D. R., Shrimali, S. S. and Khola, O. P. S., Effects of an intercrop-based conservation bench terrace system on resource conservation and crop yields in a sub-humid climate in India. Trans. ASABE, 2013, 56(4) 1411–1425.

  • Chang, Y. L., WinQSB: Dicision Support Software for MS/OM, John Wiley, New York, USA, 1998.


Abstract Views: 268

PDF Views: 111




  • Conceptualization of Community-Based Integrated Farming System Model Design with Multi-Objective Optimization Management

Abstract Views: 268  |  PDF Views: 111

Authors

Uday Mandal
Hydrology and Engineering Division, ICAR-Indian Institute of Soil and Water Conservation, 218-Kaulagarh Road, Dehradun 248 195, India
Rabindra K. Panda
ICAR-Indian Institute of Water Management, Bhubaneswar 751 023, India
Prasanta K. Mishra
Hydrology and Engineering Division, ICAR-Indian Institute of Soil and Water Conservation, 218-Kaulagarh Road, Dehradun 248 195, India
N. M. Alam
Hydrology and Engineering Division, ICAR-Indian Institute of Soil and Water Conservation, 218-Kaulagarh Road, Dehradun 248 195, India
Gouranga Kar
ICAR-Indian Institute of Water Management, Bhubaneswar 751 023, India

Abstract


Effective utilization of land and water resources is attempted in the present study through an integrated farming system and multi-objective optimization management framework model using goal programming algorithm in a coastal waterlogged paddy area in Odisha, India. A methodology is developed to identify the water harvesting structure locations in the study area using spatial science tool. Due to the uncertainty of parameters and control variables, development of management framework was considered with 85% and 75% probability of rainfall occurrence and runoff generation. To incorporate the uncertainties, a multi-objective linear goal programming optimization model is developed considering the objective of maximizing the net annual return and production subject to optimal allocation of land. While evaluating the model for different water resources scenarios, the net annual return is found to be Rs 4,343,474 and maximum production is 10,424 q from scenario I, whereas maximum production of 10,980 q is obtained in scenario II. Tomato and rice cultivation area increased from 11.47 to 21.43 ha and 8.82 to 10.48 ha respectively in scenario II. The developed methodology shows the potential applicability in similar farming situations in other areas.

Keywords


Integrated Farming System, Land and Water Resources Management, Linear Goal Programming, Multiobjective Optimization.

References





DOI: https://doi.org/10.18520/cs%2Fv112%2Fi11%2F2234-2242