Irrigation decision learning method, device, server and storage medium

A learning method and decision-making technology, applied in instruments, data processing applications, calculations, etc., can solve the problems of irrigation waste, crop yield reduction due to drought, etc., and achieve the effect of improving accuracy and scientificity and improving utilization rate

Active Publication Date: 2021-10-22
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

[0004] At present, making irrigation decisions based on the future rainfall in the weather forecast can improve the utilization rate of rainfall and reduce the waste of irrigation water. Weather Forecasts Determine Irrigation Decisions, With Corresponding Risks
For example, when crops need to be irrigated, choosing not to irrigate according to the forecast of rainfall in the future can save irrigation water, but at the same time, it is necessary to bear the risk of crop drought and reduced yield due to actual lack of rainfall; , but if there is actual rainfall in the future, you need to bear the risk of wasting water
[0005] Therefore, in view of the uncertainty of precipitation, relying solely on weather forecasts to determine whether to irrigate crops is flawed

Method used

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  • Irrigation decision learning method, device, server and storage medium
  • Irrigation decision learning method, device, server and storage medium
  • Irrigation decision learning method, device, server and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0034] Such as figure 1 As shown, the irrigation decision-making learning method provided in the first embodiment includes the following steps:

[0035] S110. Obtain current environmental parameters of the target irrigation area, wherein the current environmental parameters include weather forecast data.

[0036] In the initial cycle of irrigation decision learning, the current environmental parameters of the target irrigation area are obtained, and the parameters are initialized. The target irrigation area can be any area to be irrigated in the dry field or paddy field, and a sensing module, such as an environmental monitoring sensor, is set in the area to collect environmental parameters. The weather forecast data in the environmental parameters refers to the public weather forecast data of the target irrigation area within the preset time in the future, including but not limited to sunshine, temperature, wind and rainfall. Weather forecast data is an indispensable referen...

Embodiment 2

[0049] The second embodiment provides an irrigation decision-making learning method, which is further optimized on the basis of the first embodiment, such as figure 2 As shown, the method includes the following steps:

[0050] S210. Obtain current environmental parameters of the target irrigation area. In this embodiment, the current environmental parameters include weather forecast data, depth of soil and water layers, and growth and development period of crops. In addition, the current environmental parameters may also include soil water content, and the soil water content and the depth of the soil water layer can be converted to each other according to the conversion relationship.

[0051] S220. Determine the forecast crop evapotranspiration in the target irrigation area according to the weather forecast data and the crop growth and development period. Forecast crop evapotranspiration represents predicted evapotranspiration based on forecast weather data.

[0052] S230. ...

Embodiment 3

[0089] This embodiment three provides an irrigation decision-making learning method, which is further optimized on the basis of embodiment two, such as image 3 As shown, the method includes the following steps:

[0090] S310. Obtain the initial environmental parameters of the target irrigation area in the t-th irrigation decision cycle.

[0091] Wherein, t=1, 2, 3, 4...n, n is the last cycle of crop growth and development.

[0092] S320. Using the initialized decision value function, determine the irrigation decision in the t-th irrigation decision cycle according to the initial environmental parameters.

[0093] S330. Execute the determined irrigation decision in the t-th irrigation decision-making cycle, and update the environmental parameters of the t+1-th irrigation decision-making cycle through the transfer function.

[0094] S340. Obtain the feedback reward for the irrigation decision of the t-th irrigation decision cycle.

[0095] S350. Update the initialized decisi...

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Abstract

The invention provides an irrigation decision-making learning method, device, server and storage medium, which can improve the accuracy and scientificity of irrigation decision-making, and effectively improve the utilization rate of water resources. The irrigation decision learning method includes the following steps: Step 1. Obtain the environmental parameters of the target irrigation area in the current decision cycle; Step 2. Make irrigation decisions based on the obtained environmental parameters and the initialized decision value function; Step 3. In the current decision cycle After the formulated irrigation decision is executed, evaluate the irrigation decision, obtain the feedback reward reflecting the rationality of the irrigation decision, and use the feedback reward to update the decision value function to obtain the decision value function of the next decision cycle; step 4. Use the following The decision value function of one decision cycle, and the obtained environmental parameters of the next decision cycle, formulate the irrigation decision of the target irrigation area in the next decision cycle, and then enter step 3 for the next round of irrigation decision learning and formulation process.

Description

technical field [0001] The invention belongs to the technical field of irrigation, and in particular relates to an irrigation decision learning method, device, server and storage medium. [0002] technical background [0003] The shortage of water resources in my country has intensified, and the proportion of farmland irrigation water to the total water consumption has been decreasing. Water shortage has become a restrictive factor for the sustainable development of agriculture. Therefore, it is urgent to improve the efficiency of irrigation water and alleviate the contradiction between supply and demand of agricultural water. Increasing the utilization rate of rainfall is One of the effective ways to save water in agriculture. [0004] At present, making irrigation decisions based on the future rainfall in the weather forecast can improve the utilization rate of rainfall and reduce the waste of irrigation water. Weather forecasts determine irrigation decisions, with correspo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/06375G06Q50/02
Inventor 罗玉峰陈梦婷吴志炎崔远来李丹
Owner WUHAN UNIV
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