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Intelligent citrus disease and pest diagnosis method and system based on deep learning

A technology of intelligent diagnosis and deep learning, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as low efficiency and low accuracy, achieve strong learning ability, improve efficiency and accuracy, and express features efficiently effect of ability

Active Publication Date: 2019-09-17
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Citrus disease has a wide range of transmission routes and rapid infection. It is inefficient and accurate to identify it with the naked eye alone.

Method used

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  • Intelligent citrus disease and pest diagnosis method and system based on deep learning
  • Intelligent citrus disease and pest diagnosis method and system based on deep learning
  • Intelligent citrus disease and pest diagnosis method and system based on deep learning

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Embodiment 1

[0050] The invention uses the WeChat applet to set up the system on the mobile device, so that the user can use the system anytime and anywhere. figure 1 The structure of the intelligent mobile diagnosis system for citrus diseases is shown. The system mainly realizes the following main functions:

[0051] 1. Users can take photos of citrus diseases through the system and upload them directly to the server. The system can not only provide feedback on the type of citrus disease, but also display relevant information about the disease, such as the symptoms and causes of the disease. In addition, the system will also propose a corresponding treatment plan for the disease, helping to prevent and treat the disease. At the same time, users can search for cases of citrus diseases they are interested in. By clicking on the avatar of the expert, the diagnostic information can be sent to the corresponding expert.

[0052] 2. In order to facilitate users to monitor citrus, the system ...

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Abstract

The invention discloses an intelligent citrus disease and pest diagnosis method and system based on deep learning. The intelligent citrus disease and pest diagnosis method comprises the steps: 1, establishing an image data set of six citrus diseases including Huanglongbing, anthracnose, canker, black spot, sand paper rust and scabis based on expert experience; 2, expanding the training set and the test set by using five data enhancement methods; using the enhanced training set and verification set to train the simplified DenseNet network, and storing the model in the system; evaluating the performance of the model by using the test set; and 3, establishing a citrus disease diagnosis system on the basis of the WeChat applet, photographing / uploading images by a user through a mobile phone by using the applet, performing diagnosis through the uploaded trained convolutional network model, and returning an intelligent diagnosis result and pest control suggestions to the user to realize intelligent diagnosis of citrus diseases and pests.

Description

technical field [0001] The invention relates to a method and system for intelligent diagnosis of citrus diseases and insect pests based on deep learning. Background technique [0002] Citrus is one of the most cultivated fruits in the world. However, the increasingly serious citrus diseases have brought huge economic losses to the majority of orange farmers. With the rapid development of mobile devices, mobile services are playing an increasingly important role in people's daily lives. How to develop an intelligent diagnosis system for citrus diseases based on mobile services, build a bridge between citrus farmers and experts, and make all citrus farmers become experts is a topic worth studying. [0003] According to incomplete statistics, there are more than 140 countries growing citrus in the world. Due to factors such as climate warming, the ban on the use of highly toxic pesticides, the aging of citrus trees, and the abuse of herbicides, citrus pests and diseases are ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V10/40G06V20/68G06N3/045G06F18/241Y02A90/10
Inventor 秦姣华向旭宇潘文焱谭云
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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