An agricultural irrigation control method and system

Abstract

The invention discloses an agricultural irrigation control method and system. In the control method, firstly, the crop growth model is calibrated based on the crop growth related data, and the function fitting is performed on the relationship between the evapotranspiration deficit index and the crop water deficit rate , and then, with the help of the revised crop growth model to determine the key water demand period, calculate the water demand in the key water demand period according to the relationship fitting function, so that the revised crop growth model and relationship fitting function can obtain long-term data of different regions The support of the system improves the calculation accuracy of the water demand period and water demand of crops in different growth stages, and then guides irrigation more scientifically and improves crop yield.

Description

technical field [0001] The invention relates to the technical field of agricultural irrigation management, in particular to an agricultural irrigation control method and system. Background technique [0002] Drought is one of the natural disasters that occur frequently, last for a long time, have complex mechanisms, and have wide-ranging effects. Drought will have a significant impact on the environment, ecology, hydrology, geology, and agriculture. Agriculture is the industry most affected by the drought. [0003] At present, there are mainly two methods to determine the impact of water stress on yield in different periods: field test analysis method and water production function analysis method. [0004] The analysis method of farmland experiment is mainly to control the water supply state of crops by using the water control experiment of farmland, observe the physiological and ecological parameters of crops under different water conditions, and analyze the impact of irr...

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Problems solved by technology

[0005] Most of the existing methods are still based on field experiments. The water production function can describe the sensitivity of yield to water statistically and dynamically. However, under different soil conditions, management measures and climate conditions, different crop varieties It is difficult to uniformly quantify the yield of different production stages to water sensitivity, and lacks the support of different regions and long-term data, and it is impossible to analyze the water demand period and water demand of crops in different growth stages from a finer spatio-temporal scale.

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