Automatic small insect trapping detection method and system thereof

A detection method and detection system technology, which can be applied to devices, instruments, and counting objects for catching or killing insects, can solve problems such as low survey efficiency, complex structure and composition, and large survey errors, so as to improve environmental adaptability, improve The effect of collecting image quality and improving counting accuracy

Active Publication Date: 2017-04-19
FUJIAN AGRI & FORESTRY UNIV
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Problems solved by technology

However, due to the small size of Bemisia tabaci individuals, dozens, hundreds or even thousands of them are often gathered on one leaf when they do damage in the field, which brings trouble to manual investigation work, low investigation efficiency, large investigation errors, and investigation Personnel experience, vision, mood, fatigue, and environmental factors all affect the accuracy and reliability of survey data
Therefore, the accuracy of the sampling survey of Bemisia tabaci in the field has become a bottleneck affecting the ecological research of Bemisia tabaci and the monitoring of diseases and insect pests of Bemisia tabaci
[0004] In the prior art, the patent application whose application publication number is CN 104813993 A discloses a kind of automatic detection device and method for tiny agricultural pests based on machine vision. The detection device is composed of automatic traps f

Method used

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  • Automatic small insect trapping detection method and system thereof
  • Automatic small insect trapping detection method and system thereof
  • Automatic small insect trapping detection method and system thereof

Examples

Experimental program
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Effect test

Embodiment 1

[0084] Please refer to Figure 8 , this embodiment provides a fully automatic micro-insect trapping detection method, which is suitable for accurate counting, analysis and processing of received micro-insect collection images, and provides technical support for the control and nuisance of micro-pest population density. The following is a specific description of the trapping analysis of a tiny pest, Bemisia tabaci, as an example.

[0085] S1: Read an image of an insect trap that traps Bemisia tabaci within a preset time period, recorded as gi (i=1,2,3,4...), i represents the i-th trap that has been read board image;

[0086] S2: Insect trap positioning: The read gi image information may include the target insect trap and some interfering object tapes. According to the different characteristics of the insect trap (yellow) and the tape (gray), the yellow area in the positioning image is extracted to obtain a complete insect trap image, which is denoted as Ii;

[0087] S3: Bemi...

Embodiment 2

[0098] Please refer to Figure 1-Figure 5 ,as well as Figure 7 and Figure 8 , this embodiment provides a fully automatic detection system for trapping tiny insects, including an image acquisition device and an image processing device connected wirelessly or wiredly, preferably wirelessly.

[0099] (1) Image processing device

[0100] The image processing device of this embodiment is implemented based on the method for analyzing images collected in Embodiment 1, specifically:

[0101] The image processing device comprises a wireless receiving module 23, a target recognition module 24, a first target separation module 25, a second target separation module 26 and a counting module 27 connected in sequence; the wireless receiving module 23 is wireless with the wireless sending module connect;

[0102] The target recognition module 24, corresponding to the implementation of S3 in Embodiment 1, is mainly used to extract the color features and morphological features of each obj...

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Abstract

The invention provides an automatic small insect trapping detection method and system thereof. The method comprises the steps that target insects in a collected image are identified and marked; a local minimum algorithm is used to separate partially overlapped target insects in the marked collected image to acquire a first separation and counting result; a local region approximate estimation algorithm is used to separate seriously overlapped and covered target insects in the marked collected image to acquire a second separation and counting result; and a total counting result which comprises the first separation and counting result and the second separation and counting result is acquired. According to the invention, the counting accuracy of the target small insects can be remarkably improved; the target insects which are partially overlapped, seriously overlapped or covered by barriers can be separated to acquire the counting result closest to facts; the environment adaptability and the collected image quality of small injurious insects are improved through an image collecting device.

Description

technical field [0001] The invention relates to the technical field of agricultural detection, in particular to a fully automatic tiny insect trapping detection method and a system thereof. Background technique [0002] With the vigorous development of computer technology and digital image processing technology, the image processing technology of large and medium-sized pests and the automatic counting technology of target pests have been relatively mature, but for tiny insects (such as aphids, planthoppers, tobacco powder, etc.) The identification and counting technology of small agricultural pests such as lice and Liriomyza is still in a relatively lagging stage. On the one hand, due to the large number of tiny insects and their small size, it is difficult for ordinary digital cameras to capture high-quality pictures; It is easy to lose. [0003] Bemisia tabaci is a worldwide vegetable pest, currently distributed in other provinces, municipalities and autonomous regions i...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06M11/00G06K9/34G06K9/46A01M1/14
CPCA01M1/145G06M11/00G06V10/267G06V10/40G06V10/56G06F18/2411
Inventor 何金成张亚峰范玉磊彭小燕熊进涛胡姣赵健
Owner FUJIAN AGRI & FORESTRY UNIV
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