Determination of Irrigation Depths Using a Numerical Model and Quantitative Weather Forecast and Comparison with an Experiment

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A scheme for determining irrigation depth using a numerical model of crop response to irrigation and quantitative weather forecast was presented. To optimize each irrigation depth, a concept of virtual income, which is proportional to an increment in transpiration amount during an irrigation interval, is introduced. The optimization module has been incorporated into a numerical mode that simulates water, solute, and heat movement and crop growth. Three field experiments were carried out to evaluate effectiveness of the presented scheme. Results indicated that predicted water content and salinity agreed well with observation and net return were similar to treatment irrigated by an automatic irrigation system. These results revealed that proposed scheme can at least alter automatic irrigation systems and save costs for equipments such as soil moisture probes, dataloggers and solenoid valves.