Manju et al. (2026) Crop Simulation Model: A Digital Tool for Sustainable Water Management in Agriculture

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: International Journal of Environment and Climate Change
• Year: 2026
• Date: 2026-09-10
• Authors: P. S. Manju, Narayanan Manikandan, A.P. Ramaraj, V. S. Jinsy, K. V. Sumesh, V. Dhanalakshmi, N. V. Gopika
• DOI: 10.9734/ijecc/2026/v16i95667

Research Groups

• Department of Agricultural Engineering, University of California, Davis
• International Water Management Institute (IWMI)
• International Centre for Tropical Agriculture (CIAT)

Short Summary

This review synthesizes the use of crop simulation models in estimating crop water requirements and supporting irrigation management across various crops, highlighting their potential to evaluate water-management options under climate variability.

Objective

• Investigate the application of crop simulation models in estimating crop water requirements and informing irrigation management decisions

Study Configuration

• Spatial Scale: Global (with regional focus on maize, wheat, rice, cotton, and other crops)
• Temporal Scale: Long-term (seasonal to annual) with consideration for future climate projections

Methodology and Data

• Models used: DSSAT, APSIM, AquaCrop, CROPWAT, CropSyst
• Data sources: Field observations, satellite data, reanalysis datasets (e.g., ERA5)

Main Results

• Crop simulation models can accurately estimate crop water requirements and support irrigation management decisions across various crops.
• Model performance depends on input data quality, local calibration, and validation.
• Integration with hydrological information, remote sensing, artificial intelligence, and biotic stress modules can enhance model performance.

Contributions

• This review provides a comprehensive overview of the application of crop simulation models in estimating crop water requirements and supporting irrigation management decisions.
• It highlights the potential for these models to improve the evidence base for sustainable agricultural water-resource planning under climate variability.

Funding

• This research was supported by the CGIAR Research Program on Water, Land and Ecosystems (WLE)

Citation

@article{Manju2026Crop,
  author = {Manju, P. S. and Manikandan, Narayanan and Ramaraj, A.P. and Jinsy, V. S. and Sumesh, K. V. and Dhanalakshmi, V. and Gopika, N. V.},
  title = {Crop Simulation Model: A Digital Tool for Sustainable Water Management in Agriculture},
  journal = {International Journal of Environment and Climate Change},
  year = {2026},
  doi = {10.9734/ijecc/2026/v16i95667},
  url = {https://doi.org/10.9734/ijecc/2026/v16i95667}
}