Method and system for identifying crop diseases and pests based on Android mobile phone platform

A mobile phone platform, technology for pests and diseases, applied in character and pattern recognition, computer parts, instruments, etc., can solve the problems of inconvenient use and low recognition efficiency, and achieve high recognition efficiency, easy operation and good scalability

Inactive Publication Date: 2014-01-15
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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  • Application Information

AI Technical Summary

Problems solved by technology

The above-mentioned identification method needs to be connected to the Internet, which is very inconvenient for users; in addition, it n

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  • Method and system for identifying crop diseases and pests based on Android mobile phone platform
  • Method and system for identifying crop diseases and pests based on Android mobile phone platform
  • Method and system for identifying crop diseases and pests based on Android mobile phone platform

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Embodiment Construction

[0047] A method for identifying crop diseases and insect pests based on the Android mobile phone platform, the method includes the steps in the following order: (1) the mobile phone user takes pictures of plant diseases and insect pests through the camera of the Android mobile phone, and stores them in the SD card of the Android mobile phone, which The first step is mainly to jump to the system camera by calling Intent; (2) Preprocess the pest image; (3) Extract features from the preprocessed pest image; (4) Perform feature training on the feature set, using SVM statistical vector (5) Call the pest diagnosis model to perform SVM statistical vector machine classification, obtain disease picture classification and diagnosis results, and feedback the control methods to mobile phone users. Such as figure 1 shown.

[0048] Such as figure 1 As shown, the preprocessing of the pest image includes grayscale transformation, median filter, threshold segmentation, contour detection, and...

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Abstract

The invention relates to a method for identifying crop diseases and pests based on an Android mobile phone platform. The method comprises the steps that disease and pest pictures are taken through a camera and stored in an SD card of an Android mobile phone; the disease and pest pictures are preprocessed; features of the preprocessed disease and pest pictures are extracted; feature training is carried out on a feature set, and sample set data are trained through an SVM method to obtain a disease and pest diagnosis model; SVM classification is carried out through the disease and pest diagnosis model, a classification and diagnosis result of the diseases and pests is obtained, and prevention and treatment methods are fed back to a mobile phone user. The invention further discloses a system for identifying crop diseases and pests based on the Android mobile phone platform. Through picture preprocessing and feature extraction carried out on the disease and pest pictures, the disease and pest pictures are classified through the SVM learning method to set up the disease and pest diagnosis model, the purpose of identifying the disease and pest pictures is achieved, and the user only needs to take pictures for the diseases and pests in an aligned mode through the mobile phone, and identification efficiency is high.

Description

technical field [0001] The invention relates to the field of client image recognition, in particular to a method and system for identifying crop diseases and insect pests based on an Android mobile phone platform. Background technique [0002] The traditional way of diagnosis of diseases and insect pests adopts the method of manual observation, which has the disadvantages of subjectivity, limitation and ambiguity. With the development of computer image processing and artificial intelligence technology, people began to use computers instead of humans to diagnose crop diseases and insect pests, and proposed to realize the identification of diseases and insect pests on computers. The development of new technologies in the field of mobile computing has endowed mobile phones with broader application prospects. Mobile phones have become an important platform for personal network and computing services in the future. Android, as one of the most popular smart operating systems, has ...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 张洁李瑞谢成军宋良图王儒敬周林立黄河董伟郭书普严曙聂余满
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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