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

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 ...

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 needs to be received, identified, and processed by a computer on the server side of the network, and the identification efficiency is low.

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