Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Crop disease detection system based on neural network

A neural network and disease detection technology, applied in the field of artificial intelligence, can solve the problem of low grain yield, achieve good generalization ability, improve accuracy, and overcome the effects of incomplete consideration

Inactive Publication Date: 2016-10-12
INSPUR GROUP CO LTD
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Food is very important to people's life, but many diseases are often used before food is produced. Due to the low average education level of farmers, when crops have diseases, they are often at a loss or deal with them casually, resulting in low food production.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Crop disease detection system based on neural network
  • Crop disease detection system based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The content of the present invention is described in more detail below:

[0019] The block diagram of the system is as follows figure 1 Shown: including network module, neural network module, CPU module and database.

[0020] The CPU module is mainly used to control other modules, and the database is used to store samples and process information. The CPU module reads and writes the database information, and when the neural network is trained, the pictures and disease information of the database are input into the neural network. When the neural network module is formed, the CPU analyzes the output information of the neural network module, then queries the database, sends the information to the network module and pushes it to the user.

[0021] The neural network module is a well-trained convolutional neural network with strong generalization ability, which can determine the type and disease information of the input crops. Through a large number of image samples of cr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a crop disease detection system based on a neural network and relates to the field of artificial intelligence. The system comprises a network module, a neural network module, a CPU master control module and a database and the like. The network module is connected with a user terminal, and is used for receiving data of the user terminal or sending data to the terminal. The neural network module is a software program or a hardware system comprising a convolution neural network. The CPU master control module is used for analyzing the output of the neural network module, querying the database and sending the result to the user terminal. The database is used for recording disease information and treatment method of each crop. With the neural network module being combined, the crop disease detection system overcomes the defect that a feature matching algorithm is not fully considered, has good generalization ability and improves predication accuracy.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a neural network-based crop disease detection system. Background technique [0002] Food is very important to people's life, but many diseases are often used before food is produced. Due to the low average education level of farmers, when crops have diseases, they are often at a loss or deal with them casually, resulting in low food production. . [0003] Nowadays, with the rise of artificial intelligence neural networks, it is possible for machines to abstract themselves and learn the characteristics of things. Therefore, the crop disease detection system scheme of artificial intelligence is the current demand. Contents of the invention [0004] In order to solve this problem, the present invention proposes a neural network-based crop disease detection system, which has the characteristics of convenience, quickness, and high recognition rate. [0005] Techni...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N3/06
CPCG06N3/065
Inventor 赵鑫鑫李朋姜凯
Owner INSPUR GROUP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com