Gridding crop planting layout optimization method

Abstract

The invention provides a gridding crop planting layout optimization method, which comprises the following steps of: establishing a grid model for a target planting area to obtain potential per unit yield and suitable planting area of crops, minimum irrigation water demand of the crops, fertilization intensity of the crops, cultivated area and irrigation area data in each grid unit; and in combination with county-level statistical planting data of the target planting area, performing distribution to obtain crop planting data in each grid unit, and performing planting layout optimization based on a predetermined constraint condition by taking the minimum total irrigation water demand as an optimization target to obtain the crop planting area in each grid unit after optimization. The optimization method is carried out based on the grid units, the obtained optimization layout result is more accurate and detailed, crop planting layout adjustment can be scientifically guided, and the ecological environment problems such as underground water level decline can be effectively relieved.

Description

technical field [0001] The invention belongs to the technical field of planting layout optimization and adjustment, and in particular relates to a gridded crop planting layout optimization method. Background technique [0002] At present, there are many studies on crop planting layout optimization based on water resources. Researchers usually adjust and obtain the optimal layout of water conservation by constraining the area to consume the least water resources. However, there are certain defects in existing optimized layouts. First, the current optimal layout is mostly carried out at the regional scale, and the research at the regional scale has a large spatial uncertainty. There are also a small number of studies that refine the crop layout to the grid. However, most of the optimization methods are linear optimization, and the optimization effect needs to be improved. Second, most of the current optimization studies restrict crop yields, without considering different cr...

AI Technical Summary

Problems solved by technology

However, there are certain defects in the existing optimized layout

First, the current optimal layout is mostly carried out on the regional scale, and the research on the regional scale has a large spatial uncertainty

There are also a small number of studies that refine the crop layout to the grid. However, most of the optimization methods are linear optimization, and the optimization effect needs to be improved.

Second, most of the current optimization studies restrict crop yields, without considering different crop yield reduction scenarios

Third, most of the current research achieves water-saving goals by changing the crop planting system, such as three crops in two years, four crops in three years, etc., but changing the planting system needs to change the willingness of farmers to plant, and it is difficult to implement

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