Agricultural land partitioning model based on irrigation efficiency using a multi-objective artificial bee colony algorithm

Mehrdad Bijandi*, Mohammad Karimi, Bahman Farhadi Bansouleh, Wim van der Knaap

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In the process of agricultural land consolidation, the land parcels are optimally redesigned and rearranged in such a way that the dimensions of the resulting parcels are proportional to agricultural criteria such as irrigation discharge, soil texture, and cropping pattern. Besides these criteria, spatial factors like slope, road accessibility, volume of earthwork, and geometrical factors such as size and shape of parcels are also included in the design process of agricultural land partitioning. In this study, a land partitioning model was proposed using a multi-objective artificial bee colony algorithm (MOABC-LP) taking into consideration the mentioned factors. Initially, a feasible dimension range of parcels in a block was calculated based on irrigation efficiency. Two partitioning layouts were defined according to the topography and geometry of blocks. The proposed method was applied to a real study area and the results suggest that the land partitioning plan obtained by the MOABC-LP model, in comparison with a designer's plan, not only makes the shape and size of parcels more compatible with the topographical and agricultural conditions of each block, but also reduces their cut-and-fill ratio.

Original languageEnglish
JournalTransactions in GIS
DOIs
Publication statusE-pub ahead of print - 27 Oct 2020

Fingerprint Dive into the research topics of 'Agricultural land partitioning model based on irrigation efficiency using a multi-objective artificial bee colony algorithm'. Together they form a unique fingerprint.

Cite this