Smart Irrigation Manager: A Simple User-Friendly Software for Determining Irrigation Scheduling

Smart Irrigation Manager (SIM) is a user-friendly standalone software run on Windows, which is developed to help growers, agronomists and irrigation engineers to develop irrigation schedules using basic information of soil water balance, crop characteristics and atmospheric conditions. SIM can be used to 1) Estimate reference evapotranspiration ( E T 0 ) using three different approaches, including the modified FAO Penman-Monteith (FAO-PM), Hargreaves model and the Blaney‒Criddle equation; 2) Estimate irrigation water requirements for single irrigation events using the K c - E T 0 and soil water depletion methods; and 3) develop irrigation schedules using the K c - E T 0 and Evapotranspiration–Soil Water Balance (ET-SWB) methods. The performance of SIM has been tested using data from three different climatic zones: arid (ICBA, UAE), humid continental (ALRC, Japan) and Mediterranean (ICARDA, Morocco), while the daily E T 0 estimated by SIM was compared to that calculated by the FAO E T 0 calculator. SIM fairly estimated the daily E T 0 using the FAO-PM method with average root mean squared error (RMSE) of 0.05 mm d ‒1 , while the daily estimates using the Hargreaves and Blaney‒Criddle methods were overestimated with average RMSE of 0.45 mm d ‒1 and 2.1 mm d ‒1 , respectively. Local calibration of daily E T 0 estimated by these two methods resulted in similar estimates of crop water requirements to those of the FAO-PM across all sites. SIM can be potentially used to develop irrigation scheduling scenarios; however, it is highly recommended to use the FAO K c - E T 0 instead of the ET-SWB for coarse soil or desert regions with low precipitation.

Authors

Publication Details

Journal
Smart Agricultural Technology
Published
2025-08-08
DOI
https://doi.org/10.1016/j.atech.2025.101287
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Irrigation Manager: A Simple User-Friendly Software for Determining Irrigation Scheduling

Haruyuki Fujimaki, Asad Sarwar Qureshi, Hassan M. Abd El Baki
Smart Agricultural Technology
Smart Agriculture and AI
article

Smart Irrigation Manager: A Simple User-Friendly Software for Determining Irrigation Scheduling

Haruyuki Fujimaki, Asad Sarwar Qureshi, Hassan M. Abd El Baki
article en

Abstract

Smart Irrigation Manager (SIM) is a user-friendly standalone software run on Windows, which is developed to help growers, agronomists and irrigation engineers to develop irrigation schedules using basic information of soil water balance, crop characteristics and atmospheric conditions. SIM can be used to 1) Estimate reference evapotranspiration ( E T 0 ) using three different approaches, including the modified FAO Penman-Monteith (FAO-PM), Hargreaves model and the Blaney‒Criddle equation; 2) Estimate irrigation water requirements for single irrigation events using the K c - E T 0 and soil water depletion methods; and 3) develop irrigation schedules using the K c - E T 0 and Evapotranspiration–Soil Water Balance (ET-SWB) methods. The performance of SIM has been tested using data from three different climatic zones: arid (ICBA, UAE), humid continental (ALRC, Japan) and Mediterranean (ICARDA, Morocco), while the daily E T 0 estimated by SIM was compared to that calculated by the FAO E T 0 calculator. SIM fairly estimated the daily E T 0 using the FAO-PM method with average root mean squared error (RMSE) of 0.05 mm d ‒1 , while the daily estimates using the Hargreaves and Blaney‒Criddle methods were overestimated with average RMSE of 0.45 mm d ‒1 and 2.1 mm d ‒1 , respectively. Local calibration of daily E T 0 estimated by these two methods resulted in similar estimates of crop water requirements to those of the FAO-PM across all sites. SIM can be potentially used to develop irrigation scheduling scenarios; however, it is highly recommended to use the FAO K c - E T 0 instead of the ET-SWB for coarse soil or desert regions with low precipitation.

Smart Agricultural TechnologyVol. 12
Openalex Percentile: Top 85%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.