Kiplimo et al. (2026) Mathematical Optimisation of Smart Irrigation Scheduling Using Climate and Soil-moisture Data: A Simulation Study for Potato Production

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

Identification

• Journal: Asian Research Journal of Mathematics
• Year: 2026
• Date: 2026-09-14
• Authors: Selah Kiplimo, Jacob K. Bitok, Rotich Titus
• DOI: 10.9734/arjom/2026/v22i91159

Research Groups

• Department of Agricultural Engineering, University of Nairobi
• Kenya Meteorological Service
• International Water Management Institute (IWMI)

Short Summary

This study develops a five-state compartmental framework for potato irrigation and evaluates threshold-based and optimisation-based irrigation scenarios using a 2025 rainfall forcing series associated with Elgeyo-Marakwet County, Kenya. The simulations illustrate how climate and soil-moisture information can be incorporated into an irrigation-control framework.

Objective

• To develop a five-state compartmental framework for potato irrigation that incorporates climate and soil-moisture information

Study Configuration

• Spatial Scale: Elgeyo-Marakwet County, Kenya (regional scale)
• Temporal Scale: 2025 rainfall forcing series (long-term scenario)

Methodology and Data

• Models used: Ordinary differential equations (ODEs) for soil water, root-zone water, plant tissue water, biomass, and environmental water compartments
• Data sources: Satellite data, observation data, reanalysis data

Main Results

• The supplied simulations produced a rain-fed yield-equivalent output of 3.1 kg m-2 and a threshold-controlled output of 6.3 kg m-2, corresponding to a 103% increase within the model scenario.

Contributions

• This study contributes to the development of an irrigation-control framework that incorporates climate and soil-moisture information, which can be used for efficient potato irrigation in regions with similar climate conditions.

Funding

• This research was funded by the Kenya Agricultural and Livestock Research Organisation (KALRO) under project code KALRO/P/2020/001.

Citation

@article{Kiplimo2026Mathematical,
  author = {Kiplimo, Selah and Bitok, Jacob K. and Titus, Rotich},
  title = {Mathematical Optimisation of Smart Irrigation Scheduling Using Climate and Soil-moisture Data: A Simulation Study for Potato Production},
  journal = {Asian Research Journal of Mathematics},
  year = {2026},
  doi = {10.9734/arjom/2026/v22i91159},
  url = {https://doi.org/10.9734/arjom/2026/v22i91159}
}