Irrigation decision making method and device based on big data, server and medium

A big data and decision-making technology, applied in the field of irrigation decision-making based on big data, can solve the problems of expensive instruments, time-consuming, labor-intensive, and variable, and achieve the effect of improving utilization and reducing costs

Active Publication Date: 2020-05-08
CAMCE WHU DESIGN & RES CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, soil moisture is a key factor affecting crop growth and guiding irrigation. Soil environmental conditions are complex and changeable. Although conventional soil moisture detection methods, such as drying methods, can obtain relatively reliable results, they are time-consuming and labor-intensive. Suitable for use in field trials
Moreover, based on the traditional instrument monitoring method, the accuracy of the determined soil moisture is easily affected by factors such as soil temperature and salinity, and due to the high price of the instrument, it is limited to a certain application space range, which is not conducive to popularization in various fields. use

Method used

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  • Irrigation decision making method and device based on big data, server and medium
  • Irrigation decision making method and device based on big data, server and medium
  • Irrigation decision making method and device based on big data, server and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Example 1, such as figure 1 As shown, an irrigation decision-making method based on big data includes the following steps:

[0040] S100. Obtaining environmental monitoring data of farmland;

[0041] S200. Construct an irrigation forecast model according to the environmental monitoring data of the farmland, and use the irrigation forecast model to determine the predicted irrigation water demand of the farmland;

[0042] S300. According to the predicted irrigation water demand of the farmland and the attribute information of each field block in the farmland, use the pre-trained irrigation decision model to determine the target irrigation water amount of each field block in the farmland.

[0043] Typically, farmland environmental monitoring data include at least: meteorological data, underlying surface conditions, forecast rainfall and satellite remote sensing data.

[0044] However, in S200, the irrigation forecast model is constructed according to the environmental mo...

Embodiment 2

[0081] Example 2, such as figure 2 As shown, the difference between this embodiment and embodiment 1 is:

[0082] Before building an irrigation forecast model based on the environmental monitoring data of the farmland, the method also includes:

[0083] Preprocess the environmental monitoring data according to the data attributes included in the environmental monitoring data of the farmland, so as to build an irrigation forecast model based on the preprocessed environmental monitoring data, wherein the preprocessing includes: removing data that does not meet the data specification and noise data , clean up duplicate data and / or perform interpolation for missing data.

[0084] Exemplarily, a distributed Hadoop platform with high data throughput and high fault tolerance can be built to preprocess massive environmental monitoring data.

[0085] Specifically, use the Map function to complete the feature extraction of environmental monitoring data, realize data standardization i...

example 1

[0087] Example 1: The maximum value, minimum value, mean value, and standard deviation of each type of environmental monitoring data that do not meet the requirements are treated as bad values ​​for elimination and filtering.

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PUM

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Abstract

The invention relates to an irrigation decision making method based on big data. The method comprises the steps of obtaining farmland environment monitoring data; constructing an irrigation forecasting model according to the environmental monitoring data of the farmland, and determining a predicted irrigation water demand of the farmland by utilizing the irrigation forecasting model; and accordingto the predicted irrigation water demand of the farmland and the attribute information of each piece of field in the farmland, determining the target irrigation water quantity of each piece of fieldin the farmland by utilizing a pre-trained irrigation decision model. The device comprises a data acquisition module, an irrigation water demand prediction module and an irrigation decision making module which are electrically connected in sequence. A server includes: one or more processors; a storage device which is used for storing one or more programs, wherein when the one or more programs areexecuted by the one or more processors, the one or more processors implement the formulating method. A computer-readable storage medium on which a computer program is stored, the program implementes aformulating method when being executed. The utilization rate of irrigation water resources is improved.

Description

technical field [0001] The invention relates to the field of modern agricultural technology, in particular to a large data-based irrigation decision-making method, device, server and medium. Background technique [0002] With the process of my country's informatization, urbanization and agricultural modernization, the transfer of management rights of farmers' contracted land has been significantly accelerated, and large-scale land management has become an inevitable trend. [0003] In the traditional agricultural irrigation mode, the farmland irrigation mode of "feeling + experience" is usually adopted, or the typical fields in the entire farmland area are selected to formulate the farmland irrigation strategy and implement unified irrigation. The idea is based on the "dry" condition of the soil surface. Under the implementation of irrigation. However, soil moisture is a key factor affecting crop growth and guiding irrigation. Soil environmental conditions are complex and c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02G06N20/00G06F16/29
CPCG06N20/00G06Q10/0637G06Q50/02G06F16/29G06Q10/04
Inventor 李丹吴光星罗玉峰杨琳吴争光茆智崔远来
Owner CAMCE WHU DESIGN & RES CO LTD
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