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Intelligent tea tree insect pest diagnosis prototype system based on cloud ontology

A prototype system and intelligent diagnosis technology, applied in special data processing applications, instruments, electrical digital data processing, etc.

Inactive Publication Date: 2012-12-19
ANHUI AGRICULTURAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

Random factors such as climate, environment, drought and flood will also have different effects on the results of pest diagnosis.

Method used

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  • Intelligent tea tree insect pest diagnosis prototype system based on cloud ontology
  • Intelligent tea tree insect pest diagnosis prototype system based on cloud ontology
  • Intelligent tea tree insect pest diagnosis prototype system based on cloud ontology

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Embodiment Construction

[0082] The technical solution is further described below in conjunction with the drawings and specific implementations as follows:

[0083] 1. Research on the cloudification method of ontology concepts in the field of tea plant pests

[0084] Concept is the basic element of constructing the ontology. Because there are a lot of uncertain concepts in the field of tea pests, the uncertainty of concepts must be considered when constructing the ontology of tea pests. Firstly, extract the concept from the knowledge of tea plant pests, and then divide the different language values ​​in the concept, and finally use the cloud model to express the concept, so that the concept can be expressed intuitively without the secondary expression of language.

[0085] a) Concept extraction method

[0086] In order to improve the efficiency of concept extraction, the Chinese word segmentation method is used to segment the tea tree pest domain corpus. The Chinese word segmentation corpus is divided into in...

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Abstract

Disclosed is an intelligent tea tree insect pest diagnosis prototype system based on cloud ontology. The system comprises a concept extraction module, a tea tree insect pest field ontology clouding module, a concept-to-concept taxonomic relation clouding module, a concept-to-concept non-taxonomic relation clouding module, an intelligent checking module, a diagnosis module and a result output module. The system aims to solve the expression problem of uncertain knowledge of the ontology of the tea tree insect pest field, the process of combining cloud model concepts with the ontology to establish the cloud ontology is taken into consideration, a clouding method for tea tree insect pest field concepts and concept-to-concept relations is researched, and uncertain knowledge in the field is confirmed and applied to an intelligent diagnosis expert system.

Description

Technical field [0001] The technical solution is the application of computer information technology in the agricultural field, and specifically is a tea tree pest intelligent diagnosis prototype system based on cloud ontology. Background technique [0002] Tea originated in China. China has a long history of tea drinking and is also an important tea producing area in the world. The rapid development of my country's tea industry has put forward higher requirements for services in the field of tea science. The field of tea science is extremely rich and huge, including the types of tea, the origin of tea, the cultivation of tea, the biochemistry of tea, tea culture, tea food, and tea plant diseases and insect pests. [0003] Throughout the field of tea science, tea plant diseases and insect pests are the focus of tea production in my country. Due to the warm climate, humid air, and diverse environments, the tea plant insect flora is complex, with a wide variety of species and seriou...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06F17/30
Inventor 李绍稳叶琼刘超吉喆孙靓张友华刘恺许高建张筱丹
Owner ANHUI AGRICULTURAL UNIVERSITY
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