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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.31133 |
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Table of Contents:
- Global warming has intensified water scarcity, posing a critical challenge for the agricultural sector, where seasonal demand often leads to significant wastage. This work addresses the need for efficient water management by proposing a smart irrigation control system based on a bilevel optimization algorithm. The framework aims to minimize water consumption across multiple fields simultaneously or, under supply constraints, to distribute available water equitably to minimize deviations from required levels. To achieve this, the problem is modeled hierarchically: the upper level acts as a central controller managing daily water limits and field-wise allocation, while the lower level acts as a centralized scheduler determining the optimal cooperative irrigation execution across all fields. This structure ensures that both global resource constraints and local irrigation needs are met efficiently. Preliminary results from digital simulation tools suggest that the proposed framework significantly improves water-use efficiency and supports sustainable irrigation practices, particularly in water-constrained scenarios.