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Data freatment method used on agricultural fertilization

A data processing and agricultural technology, applied in fertilization methods, electrical digital data processing, special data processing applications, etc., can solve problems such as lack of knowledge, low yield and low efficiency, and achieve the effect of simple operation

Inactive Publication Date: 2004-05-05
HEFEI INST OF INTELLIGENT MACHINERY CHINESE ACAD OF SCI
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Problems solved by technology

In agricultural scientific research, management, and grassroots departments, a huge amount of data, examples, and knowledge and experience have been accumulated, but the accumulated large amount of data on seedling conditions, soil conditions, fertilizer conditions, water conditions, insect conditions, weather and disasters of various crops, etc. The data are basically archived as documents, and many of the relationships and influences between agricultural fertilization, soil, and climate have not been recognized by people
That is to say, the phenomenon of "rich data but poor knowledge". Agricultural fertilization also fails to effectively use these data to guide crop production, resulting in low yield and low efficiency

Method used

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  • Data freatment method used on agricultural fertilization
  • Data freatment method used on agricultural fertilization

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Embodiment Construction

[0018] exist figure 1 Among them, the steps of a data processing method for agricultural fertilization are:

[0019] (1) Load the original database and basic knowledge base. The original database is the data recorded in the process of agricultural production, and it is the data that has not been processed or processed. The basic knowledge base is the database that stores the experience of agricultural experts in the agricultural fertilization data method.

[0020] (2) Start the program coordinator and determine the task to perform data preprocessing. Agricultural data is often very large, and data gaps and noise data are prone to occur during the collection process. Such data greatly affects the validity of the data, and even causes erroneous results during data processing. Raw data is usually preprocessed before mining. Data preprocessing through the program coordinator includes: blank value processing, noise removal, inconsistent data removal, and data transformation.

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Abstract

A data processing method for scientifically applying fertilizer in agriculture includes choosing a computer program to process the external data about fertilizer application, loading the original database and basic knowledge base to storage, preprocessing the data by coordinator, choosing hierarchical database, data table and attribute, loading the chosen data to storage, processing to obtain a new data table about applying fertilizer, mining the data, and checking the mined data.

Description

technical field [0001] The invention relates to the application field of computer information technology, in particular to a data processing method for agricultural fertilization in the application field of computer information technology. Background technique [0002] In the contemporary society of information modernization and economic globalization, the development of agricultural information technology has been highly valued by countries all over the world. The emergence of computer information technology has greatly changed the weaknesses of my country's agricultural production, such as small scale, scattered organization, large temporal and spatial variations, and poor stability. As the world's largest developing country and a traditional agricultural country, my country's agricultural information technology has a huge application space and broad development prospects. Agricultural informatization is becoming more and more important to agricultural development. Withou...

Claims

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Application Information

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IPC IPC(8): A01C21/00G06F17/30
Inventor 熊范伦杨柄儒沈江涛杭小树孙海洪丁维龙吴正龙王建新李绍稳黄河张德政袁红春唐箐邓超淮晓永綦艳霞张友华周颖王振宇黄绍君腾明贵陈升中乔克志毛雪岷李岩白石磊撒力康楠生宋良图
Owner HEFEI INST OF INTELLIGENT MACHINERY CHINESE ACAD OF SCI