Optimal cropping pattern in a canal command area

Singh, Dushyant; Jaiswal, C. S.; Reddy, K.S.; Singh, Ranjeet; Bhandarkar, D. M.

doi:10.1016/s0378-3774(01)00104-4

Cited by 90 publications

(35 citation statements)

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“…Loucks et al(1981) discussed in detail about the micro level irrigation planning with detailed examples [6]. Singh et al (2001) applied linear programming model to Shahi distributory command area to obtain net returns at different water availability levels [7]. Srinivasa Raju et al (2000) used linear programming models to obtain various possible optimal cropping patterns and optimal operational policies considering different dependability inflow levels [8].…”

Section: Introductionmentioning

confidence: 99%

Multi Crop Optimization Using Linear Programming Model for Maximum Net Benefit

Shreedhar¹

2018

IJET

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The water used for agriculture is 70% globally. This has resulted in new methods of saving water. Hence water saving techniques has to be practiced. In water resources planning and management, optimization techniques is used for limited use of resources such as such as water, land, production cost, manpower, fertilizers, seeds, and pesticides. For cultivating each crop, the land area needs to be planned properly. Hence the crop pattern has to be decided optimally depending on available water resources and on economic basis. Therefore farmer needs to be educated to adopt optimum cropping pattern which maximises the economic returns. Hence the study is taken up to optimize the allocation of land areas to crops. The objective function for multi crop model were formulated using linear programming for maximizing the net benefits. The study resulted in optimal cropping pattern for different water availabilities ranging from 2000 Ha-m to 5500 Ha-m. The maximum net benefit for the study area varied from Rs. 53.2 Crores for 2000 Ha-m water availability to Rs.78 Crores at 5000 Ha-m water availability.

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Section: Introductionmentioning

confidence: 99%

Multi Crop Optimization Using Linear Programming Model for Maximum Net Benefit

Shreedhar¹

2018

IJET

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“…There are many published studies which used mathematical programming methodology to determine optimal crop pattern. Singh et al [11] used a linear programming model to reach optimized crop pattern at various available water levels. Haouari and Azaiez [3] represented a mathematical programming for determining crop pattern in dry lands under scarce of water resources.…”

Section: Introductionmentioning

confidence: 99%

The Determination of Optimal Crop Pattern with Aim of Reduction in Hazards of Environmental

Kakhki¹,

Sahnoushi²,

Abadi³

2009

American J. of Agricultural and Biological Sciences

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Problem statement:The purpose of the study was to find the optimal cropping pattern, in Taybad, which maximizes the net return per water cubic meter and per fertilizer kilogram. Approach: A linear programming model and a fuzzy multi-objective fractional programming model were applied and then these models were compared. Results: Result of study showed ratio of net return into consumption of inputs and Ratio of consumption of inputs into area under cultivation are improved with applying of FMOLFP. Conclusion: FMOLFP models can be used as an effective tool for optimal cropping pattern when in addition to economical goals, environmental goals are noticed. Managers and decision makers can apply these models for optimization of ratio of objectives.

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“…SIMIS, OPDM and WEAP are among these models. Mainuddin et al (1997), Amir and Fisher (1999), Singh et al (2001), Kipkorir et al (2002), Ghahraman and Sepaskhah (2004) and Li et al (2005) used both linear and nonlinear optimisation techniques in their studies of optimal cropping pattern to maximise net profit from farms.…”

Section: Introductionmentioning

confidence: 99%

Optimal water productivity of irrigation networks in arid and semi‐arid regions

Montazar

2008

Irrigation and Drainage

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The aim of this paper is develop a nonlinear optimisation model for the determination of the optimised water allocation and cropping pattern under adequate and limited water supplies. The water productivity index defined as the net profit to the volume of water used was considered as the objective function. The proposed model was executed for the Ghazvin Irrigation Network located in a semi-arid region in Iran. The results showed that among the crop types grown in the region, onion and alfalfa have the highest and lowest water productivity value, respectively. These values under drought conditions for the optimal cropping pattern of the two crops were estimated at 75 068.86 and 3054.18 Rls m À3 . The findings indicated that the overall water productivity of the irrigation network with relevant cropping pattern management might be raised to as high as 12 700 Rls m À3 under drought conditions. In normal and wet years, depending on the water available and the optimal cropping pattern, the values for this index were estimated to be 15 600 and 12 900 Rls m À3 , respectively. For the existing cropping pattern, overall irrigation network productivity is estimated at 10 600 Rls m À3 . Hence, the results demonstrated that the water productivity of an irrigation network could be improved as result of the optimal cropping pattern and deficit irrigation. For the study area, the maximum variations of this index may be fixed around 18% for different water regimes. The evaluations emphasise the important role of optimisation models in improving irrigation network efficiency and managing water in a sustainable manner. Copyright # 2008 John Wiley & Sons, Ltd.

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Optimal cropping pattern in a canal command area

Cited by 90 publications

References 0 publications

Multi Crop Optimization Using Linear Programming Model for Maximum Net Benefit

Multi Crop Optimization Using Linear Programming Model for Maximum Net Benefit

The Determination of Optimal Crop Pattern with Aim of Reduction in Hazards of Environmental

Optimal water productivity of irrigation networks in arid and semi‐arid regions

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