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Multi-factor integrated agricultural meteorological outlier detection method and device

A detection method, multi-factor technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve problems such as unfavorable outlier detection process and unstable support points

Pending Publication Date: 2019-07-30
GUANGDONG OKING INFORMATION IND CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] ①Randomly selected support points are unstable and may be in dense places, but they may also be in sparse places, which is not conducive to ending the outlier detection process in advance

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  • Multi-factor integrated agricultural meteorological outlier detection method and device
  • Multi-factor integrated agricultural meteorological outlier detection method and device
  • Multi-factor integrated agricultural meteorological outlier detection method and device

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Embodiment Construction

[0072] The concept, specific structure and technical effects of the present disclosure will be clearly and completely described below in conjunction with the embodiments and drawings, so as to fully understand the purpose, scheme and effect of the present disclosure. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0073] figure 1 Shown is a block diagram of the steps of a multi-factor integrated agricultural meteorological outlier detection method, combined below figure 1 A multi-factor integrated agrometeorological outlier detection method according to an embodiment of the present disclosure will be described.

[0074] This disclosure proposes a multi-factor integrated agrometeorological outlier detection method. The detection method is universal to various agrometeorological factors. Therefore, the specific factors to be used are determined by the user. Acc...

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Abstract

The invention discloses a multi-factor integrated agricultural meteorological outlier detection method and a multi-factor integrated agricultural meteorological outlier detection device, and the probability of random selection is very low due to the fact that the proportion of outliers in a data set is very small. Therefore, the algorithm randomly selects one object of the data set as a supportingpoint; distances between all the objects and the object are calculated; sorting is performed in descending order, so that a simple index is established. Based the index, equivalently, based on the distance between all the objects and the supporting point, outliers are detected from far to near; the problem of how to ensure that the candidate supporting points are far away from each other is solved; more objects can be contained in a certain radius range by taking the candidate support points as centers; non-outliers are better eliminated in advance, a front dense cluster overall filtering rule is constructed, part of the non-outliers are filtered out in advance before each data block is detected, and the filtering rule is applied before each data block is detected, so that more distance calculation expenditure is avoided.

Description

technical field [0001] The present disclosure relates to the technical field of agricultural information and data mining, in particular to a multi-factor integrated agricultural meteorological outlier detection method and device. Background technique [0002] Compared with ordinary meteorology, agricultural meteorology has significantly different characteristics. Due to the difference in disaster-bearing bodies and disaster-forming environments, the disasters caused by them are also very different. Compared with ordinary meteorological disasters, agricultural meteorological disasters add some indicators, such as drought indicators, low-temperature chilling damage indicators, and cold damage indicators. The metric space outlier detection algorithm is suitable for most data types, and can effectively deal with common meteorological data and specific agricultural meteorological data, and is especially suitable for the detection of agricultural meteorological disasters with mult...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24147G06F18/2433
Inventor 许红龙谭力江
Owner GUANGDONG OKING INFORMATION IND CO LTD