Artificial intelligence-based pest control system

An artificial intelligence, pest and disease technology, applied in closed-circuit television systems, renewable energy machines, devices for capturing or killing insects, etc. The effect of a high degree of automation

Pending Publication Date: 2021-05-28
CHANGSHA XIANGFENG TEA MACHINERY MFG +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional counting method based on machine vision requires workers to go deep into the field to take pictures, and then send the pictures to the computer terminal for identification and counting, which has a heavy workload and poor real-time performance.

Method used

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  • Artificial intelligence-based pest control system

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Embodiment Construction

[0025] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0026] Such as figure 1 As shown, an artificial intelligence-based pest control system includes a wireless visual front-end, a communication module, and a cloud server. The team uploads the high-definition image data taken to the cloud server, and the cloud server receives the high-definition image data, analyzes the types and quantities of pests in the tea garden based on artificial intelligence, and provides forecasts of pests and diseases, among which:

[0027] The wireless visual front-end is powered by solar energy, including solar photovoltaic panels, solar charging control circuits, lithium batteries, MCU microprocessors, GPS positioning modules and image acquisition modules. The solar ph...

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PUM

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Abstract

The invention discloses an artificial intelligence-based pest control system. The system comprises a wireless visual front end, a communication module and a cloud server, wherein the wireless visual front end comprises a solar photovoltaic panel, a solar charging control circuit, a lithium battery, an MCU, a GPS positioning module and an image acquisition module. The the image acquisition module shoots a high-definition image of a pest sticking plate placed in a tea garden at regular time and sends the high-definition image to the MCU; the MCU sends the high-definition image to the cloud server through the communication module; the cloud server receives high-definition image data, analyzes the types and the number of pests in the tea garden based on artificial intelligence, and provides prediction and forecast of the pest condition; and in the process, the MCU controls the solar charging control circuit to realize charging and discharging of the lithium battery by the solar photovoltaic panel. The system has the advantages of high automation degree, strong real-time performance and accurate prevention and control.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based pest control system. Background technique [0002] Insect pest is an important problem in agricultural production, which seriously restricts the development of modern agriculture in our country. The traditional counting method based on machine vision requires workers to go deep into the field to take pictures, and then transmit the pictures to the computer terminal for identification and counting, which has a large workload and poor real-time performance. [0003] Therefore, how to develop an artificial intelligence-based pest control system with a high degree of automation, strong real-time performance, and precise control has become an urgent problem to be solved by those skilled in the art. Contents of the invention [0004] In view of this, the present invention proposes an artificial intelligence-based pest control system. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01M1/14H04N7/18A01G13/00
CPCA01M1/14H04N7/181A01G13/00Y02P60/12
Inventor 汤哲陈正云杨家铃齐芳
Owner CHANGSHA XIANGFENG TEA MACHINERY MFG
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