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Optimization of Agricultural Land Partitioning Using a Multi-Criteria Approach and Genetic Algorithm
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Mohammad Karimi *   , Meherdad Bijandi , Vahid Farahani |
| K.N.Toosi University of Technology |
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Abstract: (974 Views) |
Agricultural land partitioning which is a fundamental instrument of sustainable land management, plays a crucial role in enhancing the productivity and efficiency of the agricultural systems. Given the growing constraints on water and soil resources, coupled with rising demand for agricultural products, developing innovative and efficient partitioning methods has become an urgent necessity. This study investigates a hybrid method that integrates a genetic algorithm with the existing partitioning algorithms to optimize agricultural land partitioning in the Koukedeh region of Amol Town. The primary objective is to develop an optimal framework for subdividing land blocks into parcels with appropriate dimensions and favorable geometrical characteristics, in which the multiple criteria such as crop type, irrigation method, and geometric constraints aretakenintoconsideration. The implementation results demonstrate that the generated parcels exhibit dimensions closely aligned with the established standards and regulatory guidelines. Unlike the conventional, time-intensive, and costly expert-led process, the proposed method outperforms the existing approaches in accuracy, computational efficiency, and geometric optimization. A comparative analysis indicates that the dimensional deviation of the proposed method's parcels, relative to the expert-delineated ones, is only 0.7% in length and 5.7% in width. Furthermore, the partitioning time using the hybrid method was approximately 50% shorter than that required by the standalone genetic algorithm. Overall, the findings suggest that the integration of the proposed hybrid approach with the existing partitioning algorithms can serve as a robust and effective tool for optimizing the agricultural land partitioning, thereby contributing to the sustainable land management and enhanced agricultural productivity.
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| Keywords: Agricultural land partitioning, optimization, genetic algorithm, multi-criteria, land consolidation. |
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Full-Text [PDF 1488 kb]
(7 Downloads)
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Type of Study: Research |
Subject:
GIS
Received: 2024/09/28 | Accepted: 2025/08/25 | ePublished ahead of print: 2026/04/12 | Published: 2026/06/30
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