Modeling as a Tool to Explore Sustainable Irrigation Practices in Agriculture

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Water Management".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 430

Special Issue Editors

College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China
Interests: agricultural high water efficiency management; smart irrigation; crop growth modeling; UAV remote sensing; 3D phenotype extraction

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Guest Editor
College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China
Interests: water-saving irrigation; irrigation and drainage optimization; saline–alkali soil remediation; land consolidation; soil–water–environment interaction
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Special Issue Information

Dear Colleagues,

Agriculture is one of the largest consumers of freshwater resources globally, and the pressure to optimize irrigation practices while ensuring sustainability has never been greater. Climate change, population growth, and water scarcity require innovative solutions to enhance water-use efficiency, reduce environmental impacts, and maintain crop productivity. Modeling emerges as a powerful tool to navigate this complexity, enabling the simulation of diverse irrigation scenarios, the optimization of water use efficiency, and the prediction of long-term environmental impacts. It bridges data gaps, integrates biophysical and socioeconomic factors, and supports evidence-based decisions to balance agricultural productivity with ecological sustainability. Therefore, this Special Issue focuses on the critical role of modeling as a tool to advance sustainable irrigation practices, integrating cutting-edge methodologies, interdisciplinary approaches, and real-world applications.

This Special Issue invites authors to contribute interdisciplinary studies leveraging modeling to advance sustainable irrigation. Topics include (but are not limited to) the development of hydrological crop systems or integrated models; the assessment of precision irrigation technologies; scenario analysis for climate-adaptive irrigation; and the optimization of water allocation in complex agroecosystems. We welcome the submission of original research and reviews from agronomy, hydrology, computer science, and related fields.

Dr. Tao Ma
Prof. Dr. Xiangping Guo
Guest Editors

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Keywords

  • precision irrigation systems
  • smart irrigation
  • agricultural modeling
  • soil water movement
  • drought
  • soil salinity
  • evapotranspiration
  • remote sensing
  • artificial intelligence
  • climate-resilient agriculture

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Published Papers (1 paper)

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Research

22 pages, 2452 KB  
Article
A Farm-Scale Water Balance Assessment of Various Rice Irrigation Strategies Using a Bucket-Model Approach in Spain
by Sílvia Cufí, Gerard Arbat, Jaume Pinsach, Blanca Cuadrado-Alarcón, Arianna Facchi, Josep M. Villar, Farida Dechmi and Francisco Ramírez de Cartagena
Agriculture 2025, 15(19), 2089; https://doi.org/10.3390/agriculture15192089 - 7 Oct 2025
Viewed by 276
Abstract
Making effective decisions about scaling up on-farm irrigation practices to the district level requires a comprehensive assessment of irrigation management at the farm level. In this context, a bucket-type water mass balance model was developed, calibrated, and validated over five irrigation seasons on [...] Read more.
Making effective decisions about scaling up on-farm irrigation practices to the district level requires a comprehensive assessment of irrigation management at the farm level. In this context, a bucket-type water mass balance model was developed, calibrated, and validated over five irrigation seasons on a 121-hectare rice farm located in the lower Ter River valley (north-east Spain), to assess the water use efficiency and the impact of different irrigation practices on water savings. The model was implemented considering the spatial variability of the soils within the farm. It showed a satisfactory performance in both the calibration (2020, 2021, 2022) and validation (2023, 2024) cropping seasons, with NSE values greater than 0.50, PBIAS lower than ±20%, and RSR lower than 0.70. After model validation, the simulation of alternative water management practices revealed that the 10-day fixed-turn irrigation reduced irrigation water use by 30% compared to the traditional water management, although it may negatively impact rice yield. Simulations of an early irrigation cut-off at the end of the season and dry seeding with delayed flooding accounted for 17% and 15% irrigation water savings, respectively. The implementation of the no-runoff practice only accounted for a 6% reduction in water use. The water-saving potential of the simulated strategies was mainly driven by shortening the flooded period of rice paddies, thus demonstrating that managing the ponding water level is critical to diminishing water use in rice irrigation. Full article
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