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Crop disease and pest diagnosis system and method based on large data

A diagnostic system and technology of pests and diseases, applied in the information field, can solve the problems of not fundamentally solving the problems, effectively solving the problems of diseases and insect pests, increasing production, etc., achieving the effect of improving the accuracy of judgment and solving the problems of diseases and insect pests

Inactive Publication Date: 2017-12-01
北京中农苑生物科技研究所
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to the small number and scattered distribution of rural experts, and the high cost of asking experts to investigate and solve problems on the spot, most farmers solve the problems of diseases and insect pests by consulting agricultural material stores or relying on traditional experience, so that farmers do not know the exact disease. Not only are pesticides abused, but the problem has not been fundamentally solved; in addition, due to the limited education level of farmers and the limited channels for promoting advanced technologies in rural areas, the ability to learn advanced technical knowledge is weak, and there are few ways to discuss, resulting in the inability to effectively solve the problems of pests and diseases. The issue of increasing production through advanced technology

Method used

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  • Crop disease and pest diagnosis system and method based on large data
  • Crop disease and pest diagnosis system and method based on large data
  • Crop disease and pest diagnosis system and method based on large data

Examples

Experimental program
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Effect test

Embodiment 1

[0075] like figure 1 As shown, the present invention provides a big data-based system for diagnosing crop diseases and insect pests, including: an application server and a mobile client connected to the application server through wireless communication.

[0076] The mobile client includes the input module and the receiving display module used by the client for information interaction with the application server; the mobile client includes the mobile phone and the tablet and

[0077] The application server includes a wireless transmission module, a receiving module, a pest database management unit, a prescription database, a temporary database, an index module, a pest query and diagnosis module, a feedback module and a data analysis integration module. Among them, the pest database management unit, the prescription database and the pest query and diagnosis module are connected through the index module.

[0078] Receiving module: used to receive pictures, texts and other info...

Embodiment 2

[0116] A crop disease and pest diagnosis system based on big data, such as figure 2 As shown, the difference from Embodiment 1 is that a new information database is also provided;

[0117] The new information database includes a new image sub-database for saving pictures that were not successfully matched by the matching unit and the reasons why the pictures were not successfully matched. The type is not found, etc.; it is connected with the new picture database through the index and is used to save the new significant feature sub-database that is extracted during the matching process; that is, the picture uploaded by the customer may be a new species or not in the management unit of the pest database. Existing pictures of diseases and insect pests, even when the experts do not know about them, save the pictures in the new picture sub-database, wait for the experts or system administrators to analyze the new pictures, and according to the pictures of diseases and insect pests...

Embodiment 3

[0119] A crop disease and pest diagnosis system based on big data, such as image 3 As shown, the difference from Example 1 is that it also includes a registration unit and a consultation and diagnosis unit for diseases and insect pests;

[0120] The registration unit includes an information filling module and an information confirmation module; the pest consultation and diagnosis unit includes an expert consultation module, a platform consultation module and a payment module. The temporary database also has a problem temporary sub-database.

[0121] Temporary problem storage sub-database: It is used to store customer questions and uploaded pictures when experts or the system are busy, so as to facilitate the analysis and integration of customer inquiries and consultations by the data analysis and integration module.

[0122] Information filling module: used for customers, experts and waiters of agricultural material stores to fill in and complete corresponding valid informat...

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Abstract

The invention discloses a crop disease and pest diagnosis system and method based on large data. The system comprises an application server and a mobile client which is connected to the application server through wireless communication. The mobile client comprises an input module and a receiving and displaying module. The application server comprises a wireless transmission module, a receiving module, a temporary database, a feedback module, a data analysis and integration module, a disease and pest database management unit, a prescription database and a disease and pest query and diagnosis module. Through analyzing and extracting parameters of keywords, distinctive features and disease types in disease and pest information or picture uploaded by a customer, combined with an index module, a matched picture is searched, disease and pest problems of the client are more precisely solved from multiple angles, the judgment accuracy of the whole system is improved, if information, a picture or a prescription is not successfully matched, the disease and pest picture and a reason for failed matching are stored into the temporary database, and manual diagnosis and prescription giving are carried out through a system administrator or an expert.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a system and method for diagnosing crop diseases and insect pests based on big data. Background technique [0002] Pests and diseases are one of the natural disasters that seriously endanger agricultural production. It will not only lead to a decline in the quality and output of commercial crops, but also cause a large amount of investment in pesticides and other drugs and increase the cost of control, which will increase the cost of agricultural and forestry production and seriously pollute the environment. According to the estimates of the Food and Agriculture Organization of the United Nations, the annual loss of grain and cotton production in the world due to diseases is more than 10%; and the classification, identification and diagnosis of pests and diseases is a complicated professional work, and it is very cumbersome to search according to the traditional classificatio...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F17/30G06T7/00
CPCG06F16/583G06Q10/0639G06Q50/06G06T7/0002G06T2207/30188
Inventor 韩国仕慈西太
Owner 北京中农苑生物科技研究所
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