Southern soil sample point data cleaning system and method

Abstract

The invention relates to the technical field of data processing systems or methods, in particular to a southern soil sample point data cleaning system and method, and the system comprises: a data judgment subsystem which is used for comparing sample data with standard data and marking the sample data as wrong soil classification data when the sample data does not accord with the standard data; anda data cleaning subsystem which is used for correcting wrong soil classification data according to the standard data.The data judgment subsystem which is further used for comparing the sample data with a standard threshold value and marking the sample data as error data when the sample data exceeds the standard threshold value, marking the sample data as abnormal data when the sample data does not exceed the standard threshold value and exceeds the expected threshold value. The data cleaning subsystem is also used for acquiring associated data and correcting error data and / or abnormal data. By adopting the scheme, sampling data can be cleaned, and wrong soil classification data, abnormal data and wrong data can be corrected.

Description

technical field [0001] The invention relates to the technical field of data processing systems or methods, in particular to a system and method for cleaning soil sample point data in southern China. Background technique [0002] The collection and detection of soil samples have high requirements for professional theory and technology, but in actual work, there are a large amount of soil sample data, because (1) grassroots sampling personnel are not familiar with the soil classification system and lack of sampling technology , poor work responsibility, etc. lead to inaccurate selection of sampling points, unscientific layout, incorrect information and data, incomplete records, non-standard or inaccurate; (2) third-party testing agencies lack of supervision, leading to low level of sample testing technology , There is a large gap between the test data and the actual, poor accuracy, and even artificial falsification, etc., resulting in the lack of validity, practicability and s...

AI Technical Summary

Problems solved by technology

[0002] The collection and detection of soil samples have high requirements for professional theory and technology, but in actual work, there are a large amount of soil sample data, because (1) grassroots sampling personnel are not familiar with the soil classification system and lack of sampling technology , poor work responsibility, etc. lead to inaccurate selection of sampling points, unscientific layout, incorrect information and data, incomplete records, non-standard or inaccurate; (2) third-party testing agencies lack of supervision, leading to low level of sample testing technology , There is a large gap between the test data and the actual, poor accuracy, and even artificial falsification, etc., resulting in the lack of validity, practicability and standardization of the soil sample data; and the biggest problem of the above defects is that it is difficult to find and correct according to the existing technology. In turn, it will bring misleading effects to subsequent regional agricultural scientific decision-making, which has become the core limiting factor that plagues the management and application of soil sample point data in the agricultural sector

[0003] Under the current technical level, soil sample data can only be checked and corrected manually by experts who have been engaged in soil scientific research for many years, which is extremely inefficient and has a high error rate. The purpose of mass soil data cleaning and verification

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