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Intelligent crop pest measuring and reporting system based on internet of things

A technology for crops and the Internet of Things, which is applied in the direction of measuring devices, devices for catching or killing insects, instruments, etc., can solve problems such as large manpower consumption, cumbersome work of crop pest forecasting, and poor real-time performance, so as to improve intelligence and accuracy The effect of reducing the amount of pesticide application and environmental pollution, improving accuracy and timeliness

Active Publication Date: 2017-05-10
GUILIN UNIV OF ELECTRONIC TECH +1
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is that the existing crop pest forecasting work is cumbersome, labor-intensive, and poor in real-time performance, and an intelligent forecasting system for crop pests based on the Internet of Things is provided

Method used

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  • Intelligent crop pest measuring and reporting system based on internet of things
  • Intelligent crop pest measuring and reporting system based on internet of things
  • Intelligent crop pest measuring and reporting system based on internet of things

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Embodiment Construction

[0020] The accompanying drawings disclose non-restrictive structural schematic diagrams of preferred embodiments involved in the present invention, and the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0021] see figure 1 , an intelligent forecasting system for crop pests based on the Internet of Things, including a remote data center and at least one forecasting device. Each measuring and reporting device is set at different monitoring points.

[0022] The forecasting device can collect image information, detect and count the trapped crop pests, so as to facilitate real-time forecasting of the occurrence and development of crop pests in a wide-area environment. Each measuring and reporting device includes a bracket 1, and a power supply unit 2 fixed on the bracket 1, a main control unit 3, an image acquisition unit 4, a trapping unit, an air jet unit 6, an environmental monitoring unit 7 and a ...

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Abstract

The invention discloses an intelligent crop pest measuring and reporting system based on the internet of things. The system comprises a remote data center and at least one measuring and reporting devices; each measuring and reporting device comprises a support and a main control unit, an image collection unit, a trapping unit, an air injection unit, an environment monitoring unit and a data transmission unit which are fixed to the support; the image collection unit is located above the trapping unit and faces the trapping unit; the air injection unit is located at one side of the trapping unit and faces the trapping unit; the main control unit is connected with the image collection unit, the trapping unit, the air injection unit, the environment monitoring unit and the data transmission unit; the data transmission unit is connected with the remote data center. According to the intelligent crop pest measuring and reporting system based on the internet of things, unattended intelligent control is achieved, the intelligence and accuracy of hazard prediction and forecast of crop pests can be improved, population dynamics are monitored and predicted in time, damage of the pests can be controlled by scientifically and reasonably adopting measures, the pesticide application dose and environmental pollution are reduced.

Description

technical field [0001] The invention relates to the technical field of remote intelligent monitoring of crop pests, in particular to an intelligent monitoring and reporting system for crop pests based on the Internet of Things. Background technique [0002] At present, my country mainly uses sex attractants combined with field insect surveys to predict and forecast the occurrence of crop pests (such as sugarcane borer). However, the application of lures requires manually recording the number of lured moths every day. The work is cumbersome and heavy, and it is not easy to obtain the population dynamics of pests in a wide-area environment (such as the main sugarcane production area in Guangxi) at the same time, which affects the accuracy of forecasting the occurrence of crop pests. . Contents of the invention [0003] The technical problem to be solved by the present invention is that the existing crop pest forecasting work is cumbersome, labor-intensive, and poor in real-...

Claims

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Application Information

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IPC IPC(8): A01M1/02A01M1/04G01D21/02
CPCA01M1/026A01M1/04G01D21/02
Inventor 张会兵覃振强胡晓丽徐智张宏博李彤张艳菊宋修鹏罗亚伟张敬伟周娅
Owner GUILIN UNIV OF ELECTRONIC TECH
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