A multi-feature-based pest identification and early warning method and device

An early warning device and multi-feature technology, applied in the field of agricultural Internet, can solve the problems of unstable flight, economic loss, low recognition efficiency, etc., and achieve the effect of increasing the recognition accuracy, reducing labor intensity and accurate recognition.

Active Publication Date: 2021-06-11
武汉爱农云联科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Restricted by the level of science and technology, the determination of insect species and pest damage in farmland areas is usually carried out by experts or experienced agricultural workers to the field to complete the judgment through manual inspection and visual observation. The judgment method not only wastes time and energy, but also has low identification efficiency, and it is difficult to fully grasp the degree of pest damage, so the best control time is often missed, causing huge economic losses
With the development of science and technology, methods for automatically identifying insects through image analysis have gradually emerged. However, traditional automated methods are usually unable to combine multi-dimensional features for identification and analysis, so it is difficult to accurately identify insect species and pest damage, and it is also impossible to carry out pest control. Timely early warning; when collecting insect features, it is difficult to accurately collect insect features because most insects fly fast and unstable, which will have a certain impact on insect recognition

Method used

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  • A multi-feature-based pest identification and early warning method and device
  • A multi-feature-based pest identification and early warning method and device
  • A multi-feature-based pest identification and early warning method and device

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Embodiment 1

[0044] The embodiment of the present invention provides a multi-feature based pest recognition and early warning method, refer to figure 1 , including the following steps:

[0045] In step 10, the insects in the farmland are induced to capture and the corresponding insect identification features are collected, and the data center determines the insect species through weighted analysis of different insect identification features.

[0046] In the embodiment of the present invention, the data center can be specifically set up on different smart terminals, such as smart tablets, smart phones, computers, etc., and managed by users. In the identification of insect species, if only a single identification feature is used for identification, there may be certain errors in the identification results, so multiple identification features are used for identification here. At the same time, the importance of different identification features in the identification of insect species is also d...

Embodiment 2

[0073] On the basis of the above-mentioned embodiment 1, the embodiment of the present invention also provides a multi-feature-based pest identification and early warning device, which is used to implement the multi-feature-based pest identification and early warning method described in Embodiment 1. Such as Figure 5 As shown, the device includes a capture device and a data center wirelessly communicating with the capture device. The capture device is used to capture insects in the farmland area, and then collect relevant insect identification features and transmit them to the data center. The data The center is used to receive the data from the capture device and analyze and process the data. A data collection system is also provided in the data center, and the data collection system is used to collect the environmental characteristics corresponding to the farmland, and store the environmental characteristics in the data center; wherein, the environmental characteristics inc...

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Abstract

The present invention relates to the technical field of agricultural Internet, and in particular to a multi-feature-based insect pest recognition and early warning method and device. Determine the insect species; judge whether the insect is a pest according to the insect species and the plant species in the farmland; Level size issued a corresponding warning. The invention captures insects first, and collects multi-dimensional features such as insect pictures, wing vibration frequency and plant pictures more conveniently to identify insect species, and the identification is more accurate and reliable; at the same time, through the combination of multi-dimensional features of insect features and environmental features, accurate identification The pest level and early warning increase the accuracy of pest identification, and the pest early warning is more intelligent and reliable.

Description

technical field [0001] The invention relates to the technical field of agricultural Internet, in particular to a multi-feature-based pest identification and early warning method and device. Background technique [0002] In the production process of crops, insect pests are one of the important factors that endanger the growth of crops and affect the yield. Restricted by the level of science and technology, the determination of insect species and pest damage in farmland areas is usually carried out by experts or experienced agricultural workers to the field to complete the judgment through manual inspection and visual observation. The judgment method not only wastes time and energy, but also has low identification efficiency, and it is difficult to fully grasp the degree of pest damage, so the best control time is often missed, resulting in huge economic losses. With the development of science and technology, methods for automatically identifying insects through image analysi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04A01M1/02
Inventor 翁园林
Owner 武汉爱农云联科技有限公司
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