Optimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms

Ashruti Upadhyaya,Ashutosh Upadhyaya

doi:10.2166/wp.2021.083

Abstract

Abstract Efficient and judicious use of land and water is the need of the hour. In other words, evolving a cropping pattern, which optimizes productivity or net return considering prevailing constraints is quite useful to farmers, because such a cropping pattern is expected to be better than the existing cropping pattern in terms of yielding optimum productivity or net return. A single objective problem consisting of an objective function of optimization of water productivity with prevailing constraints was formulated and three optimization algorithms, namely (i) LINPROG, (ii) teaching learning based optimization (TLBO) and (iii) cuckoo search (CS) were employed to compute optimum water productivity corresponding to various affinity levels. It was observed that all three approaches yielded exactly the same values of water productivity at different affinity levels. TLBO showed better convergence capability as it reached the optimum value of objective function at a lower number of iterations than CS technique. Optimum water productivity at 20% affinity level seems quite practical and reasonable to be recommended in this distributary command for adoption because water productivity value is 2.57 times higher with 98.25 ha less cropped area as compared to the value of water productivity for the existing cropping pattern.

Highlights

Land and water are two important finite natural resources, which are diminishing at a faster pace due to indiscriminate and unscrupulous exploitation
Since the availability of land and water to the agriculture sector is expected to decrease in future due to increasing demand in other sectors and pressure to produce more food will rise to feed the ever-increasing population, the only possible pathway is efficient use of land and water leading to enhanced productivity or net return
To get optimum value of water productivity for the crops grown in the command of Bhagwanpur distributary, a single objective problem was formulated and solved through three optimization algorithms, namely, (i) LINPROG, (ii) teaching learning based optimization (TLBO) and (iii) cuckoo search (CS)

Summary

Introduction

Land and water are two important finite natural resources, which are diminishing at a faster pace due to indiscriminate and unscrupulous exploitation. There is immense pressure on water available for agriculture and it can be gauged from the fact that due to increased demand and supply of water towards industrial, urban and domestic sectors, allocation of water for agriculture is expected to be reduced drastically in future. Under such a situation, the only feasible way is to realize the importance of water and plan its efficient use in crop production. Optimization techniques are quite helpful in analysis and evolving a better plan of maximizing net return per unit of water (water productivity) under the prevailing constraints

Methods

Results

Conclusion