A method and system for eliminating redundancy of agrometeorological data based on information entropy

A meteorological data, redundancy elimination technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as performance differences, inability to eliminate redundant meteorological data, and low accuracy of agrometeorological disaster assessment, to improve processing speed. , improve the evaluation accuracy, reduce the effect of the search space
CN109636660AInactive Publication Date: 2019-04-16GUANGDONG KINGPOINT DATA SCI & TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
GUANGDONG KINGPOINT DATA SCI & TECH CO LTD
Publication Date
2019-04-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to the field of agricultural data processing, in particular to a method for eliminating redundancy of agrometeorological data based on information entropy, comprising the steps of constructing a decision information table, collecting all object sets, a condition attribute set, a decision attribute set, an attribute value set and a system function, and constructing a decisioninformation table. Calculating the mutual information amount, and obtaining the mutual information amount according to the information entropy and the conditional entropy; Determining a related attribute, if the attribute a is a related attribute, making the kernel attribute data set R = R U {a}; Determining a kernel attribute data set step of determining a value of the kernel attribute data set Rand outputting the kernel attribute data set R if the mutual information amount between the kernel attribute data set R and the decision attribute set is equal to the mutual information amount between the conditional attribute set and the decision attribute set; Disaster assessment step, performing data mining and analyzing the core attribute data set R, according to the results, assessing agro-meteorological disaster. The invention can improve the processing speed of agrometeorological data and improve the accuracy of agrometeorological disaster assessment.
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Description

technical field

[0001] The invention relates to the field of agricultural data processing, in particular to a method and system for eliminating redundancy of agricultural meteorological data based on information entropy. Background technique

[0002] With the increasingly close influence of the climate environment on agricultural production, how to efficiently process massive meteorological data and improve the scientificity and accuracy of agricultural meteorological disaster assessment has become a hot spot in agricultural meteorological disaster research. The role of agricultural meteorological disaster assessment is mainly through the analysis of Historical meteorological data information can intuitively classify and evaluate the damage level of crops and give early warning of possible disasters to guide farmers to carry out agricultural production reasonably.

[0003] The amount of historical meteorological data is huge, and there are many attributes of each element. Th...

Claims

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