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Crop lesion detection method and device

A detection method and technology for crops, applied in image enhancement, image analysis, instruments, etc., can solve problems such as insufficient reliability and inability to provide data on the possibility of plant lesions, and achieve high reliability.

Active Publication Date: 2019-08-16
FOSHAN UNIVERSITY
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  • Claims
  • Application Information

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Problems solved by technology

[0005] There are already many plant lesion detection methods based on image processing and recognition in the prior art, but the existing lesion detection methods are not reliable enough to give the plant Specific lesion probability data

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  • Crop lesion detection method and device

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Embodiment Construction

[0052]The concept, specific structure and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments and accompanying drawings, so as to fully understand the purpose, features and effects of the present invention. Apparently, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments of the present application, other embodiments obtained by those skilled in the art without creative efforts belong to The protection scope of this application. In addition, all connection relationships mentioned in this article do not refer to the direct connection of components, but mean that a better connection structure can be formed by adding or reducing connection accessories according to specific implementation conditions. The various technical features in the invention can be combined interactively on the premise of not conflicting with each other. Finall...

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Abstract

The invention discloses a crop lesion detection method and device. The detection method comprises a lesion classification step and a lesion recognition step. In the lesion classification step, training of a decision tree classifier is completed according to lesion type labels and image features of all sample images; and a plurality of feature template images are generated according to the decisiontree classifier; the lesion identification step comprises the step of calculating the matching degree between the to-be-detected image and each feature template image by using a semi-naive Bayes classifier; and judging possibility of lesion of to-be-detected crop according to the matching degree between the to-be-detected image and each feature template image. According to the lesion detection method, in the lesion classification step, a decision tree classifier is used for determining crop characteristics corresponding to various different lesion types, so that a template image is generated;in the lesion identification step, the matching degree of the to-be-detected image of the to-be-detected crop and each template image is calculated by using the semi-naive Bayes classifier, so that the lesion type of the to-be-detected crop and the possibility data of the lesion are obtained, and the reliability is high.

Description

technical field [0001] The invention relates to the technical field of crop detection, and more specifically designs a method and a detection device for detecting crop lesions. Background technique [0002] As we all know, my country is a veritable agricultural country with a large area of ​​farmland and a large population base engaged in agricultural cultivation. At present, the general status of my country's agricultural planting is that most areas have realized the semi-mechanized production mode, and the production efficiency is still at a low level. [0003] Taking scallions as an example, scallions are one of the indispensable seasonings in people’s daily life. According to relevant data, the planting area of ​​scallions accounts for 10% of vegetable planting in my country, but its production output only accounts for 7%. Its reason is mainly because the planting of scallions is mainly managed manually, when lesions appear in the scallions planting process, it is diffic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06T5/00G06T5/40
CPCG06T5/40G06T2207/10024G06T2207/30188G06V10/56G06F18/22G06F18/24155G06T5/70
Inventor 叶大贵陈建文王修才朱文博许仁俊施淞瀚林浩勃陆江南吴徐平黄穗龙朱珍
Owner FOSHAN UNIVERSITY
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