Automatic targeting detection device and detection method for agriculture

A detection device and detection method technology, applied in the agricultural field, can solve problems such as wasting water resources, identifying targets, ecological environment and human health hazards, and achieve the effects of low cost, improved accuracy and improved reliability

Pending Publication Date: 2021-09-21
TOBACCO RES INST CHIN AGRI SCI ACAD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the extensive use of pesticides, a large amount of labor is consumed, water resources are wasted, and the resistance of pests and diseases increases, resulting in a vicious circle. Pesticides escape to water bodies and accumulate in the food chain, causing serious harm to the ecological environment and human health.
In the existing technology, it is difficult for many dete

Method used

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  • Automatic targeting detection device and detection method for agriculture
  • Automatic targeting detection device and detection method for agriculture
  • Automatic targeting detection device and detection method for agriculture

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Such as figure 1 , figure 2 , image 3 as shown,

[0042] The first aspect of the present application provides an automatic target detection device for agriculture, including a drone component 1, a camera component 2, a light source component 3, and a control unit;

[0043] The drone assembly 1 includes a frame 101, the top end of the frame 101 is provided with a connecting rod 102, the bottom end of the frame 101 is connected to a support rod 103, and the support rod 103 is connected to a protective rod 104; In the complex detection area, the camera and the light source are easily damaged, and the light source and the camera are protected by the support rod 103 and the protective rod 104, and the telescopic rod is set on the turbine rotation mechanism of the wing on the UAV component, so One end of the telescopic rod is connected to the micro motor, and the other end is connected to the cylinder. Using the expansion and rotation of the telescopic rod, the rotation ...

Embodiment 2

[0049] The image captured by the camera 202 is processed by the control unit, and the position points of the image captured by the camera 202 of the drone are marked with different degrees of color according to the processing of the image. The darker the color, the deeper the color of the crop. Growth status is more hindered.

[0050] It should be noted that in the process of image processing, there are many factors in the growth of crops in an area, such as the lack of certain fertilizers, pests and diseases, and too many weeds leading to slow growth of crops and so on. Moreover, in this type of detection, the present invention uses different colors for marking, and the darker the color, the greater the hindrance to the growth of the crops. And formulate an implementation plan, which can include various implementation methods and recommended implementation time periods, etc. For example, in an area, the crops lack certain fertilizers, pests and diseases, and too many weeds ca...

Embodiment 3

[0052] Figure 4 shows the overall method flow chart of the detection device;

[0053] The second aspect of the present invention provides a detection method for an automatic target detection device for agriculture, which is applied to any of the automatic target detection devices for agriculture, and specifically includes the following steps:

[0054] S102: obtaining real-time growth information of crops;

[0055] S104: by analyzing the real-time information of the growth and recording the location point of the camera, generating location information;

[0056] S106: Establish a regional area model according to the position information, and obtain model information;

[0057] S108: The model information marks a preset color according to the real-time information, obtains a regional color model and generates color model information;

[0058] S110: Comparing the color model information with the preset color model information to obtain a deviation rate;

[0059] S112: formulat...

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PUM

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Abstract

The invention discloses an automatic targeting detection device for agriculture. The device comprises an unmanned aerial vehicle assembly, a camera assembly, a light source assembly and a control unit; the unmanned aerial vehicle assembly comprises a rack, a connecting rod is arranged at one end of the top of the rack, a supporting rod is connected to one end of the bottom of the rack, and the supporting rod is connected with a protective rod; and the light source assembly comprises a light source generator, one end of the light source generator is connected with a storage battery, the other end of the light source generator is connected with a collecting lens, and the light source assembly is arranged on the inner side of the supporting rod and connected with the rack. The unmanned aerial vehicle is used for carrying out camera shooting detection, higher flexibility and convenience are realized. Compared with the cost other technologies, the cost of the device is lower; on one hand, a view blind area which is difficult to detect by other technologies (such as a remote sensing technology) can be detected, on the other hand, the illumination degree is freely adjusted according to a previous light condition, and the reliability during camera shooting is improved, and the accuracy of an analysis result is improved.

Description

technical field [0001] The invention relates to the field of agriculture, in particular to an automatic target detection device and detection method for agriculture. Background technique [0002] The automatic target device can selectively apply pesticides to the target according to the characteristic information of the target, significantly reducing the deposition of pesticides in non-target areas, effectively controlling the adhesion rate of drugs, thereby effectively reducing costs and reducing environmental pollution caused by pesticides. After years of hard work, scientific researchers have made great progress in the new spraying technology, but it still has many problems, such as the positioning accuracy of GPS, the application of key technologies, and the coordination of various technologies. , can not be fundamentally eliminated by the "heavy fog, rain" method of application. also. Due to the extensive use of pesticides, a large amount of labor is consumed, water r...

Claims

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Application Information

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IPC IPC(8): G01C11/04G01C11/02
CPCG01C11/04G01C11/02
Inventor 王秀国林勇谢兴源黄仕亮刘通
Owner TOBACCO RES INST CHIN AGRI SCI ACAD
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