Crop disease prediction method based on crop ontology concept response

A forecasting method and crop technology, applied in data processing applications, biological neural network models, special data processing applications, etc., can solve problems such as complex processes, damage to crop quality, and neglect of multiple parts of diseases, so as to promote knowledge Get, avoid irreversible damage, avoid the effect of insufficient marked data
CN111968003APending Publication Date: 2020-11-20ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
Publication Date
2020-11-20

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Abstract

The invention discloses a crop disease prediction method based on crop ontology concept response. The method comprises the following steps: defining a local ontology sub-concept, modeling a disease ontology, constructing a deep learning model, detecting the ontology concept, predicting a disease result based on supervised learning, and predicting the disease result based on concept reasoning. According to the method disclosed in the invention, based on establishment of disease knowledge ontology, a corresponding ontology concept detector is trained based on the deep learning model; then, afterconcept response is detected, disease result prediction is carried out in combination with supervised learning and concept reasoning technologies; on one hand, when disease result prediction is carried out based on supervised learning, the noise in the label is attempted to be filtered; on the other hand, the uncertainty of concept response is reduced through concept reasoning, the relationship between crop state expression and disease results is fully analyzed, disease inversion is promoted while the disease prediction reliability is improved, and the problem of insufficient marked data is prevented.
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Description

technical field

[0001] The invention relates to the technical field of crop disease prediction, in particular to a crop disease prediction method based on the crop ontology concept response. Background technique

[0002] As the lifeline of the national economy, agriculture is an important foundation for my country's economic construction and development, and crops are an important resource for people's lives. However, crops are often infected with various diseases due to various stresses during the growth process, and the occurrence of diseases will affect The healthy growth of crops interferes with the important physiological functions of crops, which in turn leads to damage to crop quality and yield decline, which brings incalculable losses to agricultural production. Especially in recent years, the planting area, variety and quantity of crops in my country have gradually increased, but Problems in climate, ecological environment and planting system lead to frequent crop dis...

Claims

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