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Intelligent decision-making method for water and fertilizer integration of drip irrigation

A technology of intelligent decision-making and decision-making methods, applied in botany equipment and methods, fertilization devices, watering devices, etc., can solve problems such as repeated irrigation, unbuilt water and fertilizer integrated decision-making database structure, low rainwater utilization rate, etc.

Active Publication Date: 2018-12-07
CHINA AGRI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the control and execution part of the intelligent drip irrigation system has developed relatively maturely. There have been many intelligent drip irrigation systems composed of sensor acquisition equipment, drive execution equipment, and transmission equipment on the market. At present, there are mainly the following problems: 1. In the process of intelligent decision-making and control of drip irrigation water and fertilizer integration, the above-mentioned system lacks the decision-making process of water and fertilizer integration. For example, the patent No. CN200710179350.9 proposes an automatic control system and method for underground drip irrigation water, fertilizer, and medicine integration. This patent realizes the decision-making and automatic control of the integration of drip irrigation, water and fertilizer, but the decision-making process does not involve the calculation of fertilization amount, does not consider the future precipitation, and is prone to repeated irrigation, resulting in the problem of low utilization of rainwater; 2. Decision-making control process It is necessary to input, collect, and generate a large number of data in different categories and formats. It is necessary to build an effective database structure to effectively process and store the above data, so as to reduce the difficulty of data management in the intelligent drip irrigation system and facilitate system data accumulation and further processing. Data mining has not yet been reported. For example, the patent application number CN201611127292.0 proposes an irrigation decision-making system and method based on an agricultural system model, which mentions an irrigation decision-making model library, but does not build a complete integrated water and fertilizer decision. database structure

Method used

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  • Intelligent decision-making method for water and fertilizer integration of drip irrigation

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Embodiment 1

[0101] Taking the decision-making system and database construction of an intelligent drip irrigation project in Tongzhou District, Beijing as an example, the crop is summer corn, each plot is equipped with sensors that can collect soil moisture, and the irrigation decision-making period is set to 10 days.

[0102] In the data collection step, 0% appears in the collected real-time soil moisture data. During the data cleaning process, it is found that this value is not in the normal data range. This value is removed from the collected data, and the collected soil moisture and meteorological data , irrigated area, humidity ratio, summer corn sowing time, geographical location and other input data are stored in the database. When the soil moisture reaches the lower limit, the irrigation decision is made, and the specific decision-making process is as follows:

[0103] Retrieve the values ​​of parameters a, b, and c located in Tongzhou District in this example through coordinates i...

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Abstract

The invention discloses an intelligent decision-making method for water and fertilizer integration of drip irrigation in the technical field of intelligent control for drip irrigation. The intelligentdecision-making method comprises a drip irrigation and fertilization decision-making method and database construction, wherein drip irrigation decision making comprehensively considers influences imposed on the irrigation amount by rainfall, and fertilization decision making is carried out simultaneously; and discrete point data is transformed into spatial data through constructing a database soas to realize intelligent data mining. The decision-making method comprehensively considers meteorological conditions in the future and crop growth requirements, and realizes accurate output of the irrigation and fertilization amount. Meanwhile, the intelligent decision-making method can conveniently acquire, manage and mine data, and improves the intelligent level of irrigation and fertilizationdecision making.

Description

technical field [0001] The invention belongs to the technical field of drip irrigation intelligent control, in particular to an intelligent decision-making method for drip irrigation water and fertilizer integration. Background technique [0002] The development of drip irrigation is an important way to achieve agricultural water saving, high yield, and high efficiency. It is of great significance to ensure the safe supply of agricultural products, drive farmers out of poverty, and promote agricultural modernization. Intelligent drip irrigation is based on the crop growth environment and crop physiological index information collected by the sensor, analyzes the water and fertilizer requirements of the crops, and provides management parameters such as the amount of drip irrigation and fertilization, irrigation and fertilization time, and drives electronically controlled valves, water pumps, etc. The equipment automatically performs irrigation and fertilization operations or p...

Claims

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Application Information

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IPC IPC(8): G05D27/02A01C23/00A01G25/16
CPCA01C23/007A01G25/167G05D27/02Y02A40/22
Inventor 李云开刘畅刘洋苏艳平
Owner CHINA AGRI UNIV
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