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ORIGINAL RESEARCH article

Front. Agron.
Sec. Field Water Management
Volume 6 - 2024 | doi: 10.3389/fagro.2024.1376231

Optimization of Irrigation Scheduling using Crop-Water Simulation, Water Pricing and Quantitative Weather Forecasts

Provisionally accepted
Hassan M. Abdelbaki Hassan M. Abdelbaki 1Haruyuki Fujimaki Haruyuki Fujimaki 2*Ieyasu Tokumoto Ieyasu Tokumoto 3Tadaomi Saito Tadaomi Saito 2
  • 1 International Center for Biosaline Agriculture (ICBA), Dubai, United Arab Emirates
  • 2 Tottori University, Tottori, Japan
  • 3 Saga University, Saga, Saga, Japan

The final, formatted version of the article will be published soon.

    Numerical models of crop response to irrigation and weather forecasts with internet access should be fully utilized in modern irrigation management. In this respect, we developed a new numerical scheme to optimize irrigation depth that maximizes net income over each irrigation interval. The scheme applies volumetric water prices to inspire farmers to save water, and it provides growers with real-time estimates of irrigation depth and net income over the growing season. To evaluate this scheme, we carried out a field experiment for groundnut (Arachis hypogaea L.) grown in a sandy field of the Arid Land Research Center (ALRC), Tottori University, Japan. Two treatments were established to compare the net income of the proposed scheme with that of an automated irrigation system. Results showed that although the proposed scheme gave a larger amount of seasonal irrigation water 28%, it achieved 2.18 times of net income owing to 51% higher yield compared to results of the automated irrigation system. The accuracy of rainfall forecast had little effect on the scheme outputs, where The the Root Mean Square Error (RMSE) between both observed and forecasted rainfall was 4.63 mm. The accuracy of rainfall forecast has had little effect on the scheme outputs, By utilizing numerical simulation information of the soil-plant-atmosphere system into which implies that the proposed scheme, it would be a more cost-effective tool for optimizing irrigation depths than automated irrigation systems.

    Keywords: Automated irrigation, soil water content, drought, transpiration, Net income, numerical simulation

    Received: 25 Jan 2024; Accepted: 02 Sep 2024.

    Copyright: © 2024 Abdelbaki, Fujimaki, Tokumoto and Saito. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Haruyuki Fujimaki, Tottori University, Tottori, Japan

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.