Automatic counting system for density of Bemisia tabaci adults

Abstract

The invention discloses a method for automatically counting the density of Bemisia tabaci adults. The method comprises the following: a step (1) of measuring the distance, which is to measure the distance between an imaging device and an imaging object; a step (2) of acquiring images, which is to acquire images including the Bemisia tabaci adults by means of the imaging device; a step (3) of recognizing the Bemisia tabaci in the acquired images and automatically counting the Bemisia tabaci; a step (4) of computing the area of hostplant leaves; and a step (5) of obtaining the number of the Bemisia tabaci adults in unit area of hostplant leaves , namely the density of the Bemisia tabaci adults, according to the results of the step (3) and the step (4). The method for automatically counting the density of Bemisia tabaci adults can automatically, rapidly, and accurately recognize and count the Bemisia tabaci adults in complex situations in fields.

Description

technical field [0001] The invention mainly relates to the field of insect counting methods in insect research, in particular to an automatic counting method for the density of whitefly adults. Background technique [0002] At present, in the related fields of Bemisia tabaci research and pest forecasting and control, counting the adults of Bemisia tabaci per unit area on the host plant or on the yellow board is a realistic work that is often faced. The existing counting methods , are all carried out manually, counting and recording with paper and pen at the same time, relying on manual counting and superimposing data; and whitefly adults are small in size and have the ability to fly, and the leaves and yellow boards of different host plants have large areas. Small differences, when the population density is slightly higher, and it is necessary to compare the adult whitefly density of whitefly adults on different objects, this work is very cumbersome, time-consuming and labor...

AI Technical Summary

Problems solved by technology

[0002]At present, in the related fields of whitefly research and pest forecasting and control, the work of counting whitefly adults per unit area on the host plant or on the yellow board , is a real work that is often faced. The existing counting methods are all carried out manually, counting and recording with paper and pen at the same time, relying on manual counting and superimposing data; and whitefly adults due to their small size and With the ability to fly, the leaves and yellow plates of different host plants vary in size and size. When the population density is slightly higher, and it is necessary to compare the adults of Bemisia tabaci on different objects, this work becomes more important. Very cumbersome, time-consuming and labor-intensive with poor accuracy

In the prior art, there is a system that relies on image processing technology and programming technology to complete the automatic counting of tiny insects, such as the counting of aphids on yellow boards, etc. However, the system has the following defects: 1. The objects faced It is designed for the acquisition of images with the same background brightness of the same image. It is necessary to uniformly capture the background area, such as the number of insects on a yellow board with a fixed size, and the distance between the camera and the image background needs to be fixed, so that the area captured by each image Unified, it has no versatility with the counting of whitefly adults under the complex background brightness in the field, and the existing technology cannot obtain the density of insects, which has limitations in insect research

2. The existing micro-insect automatic counting system does not screen the target body or simply screens the target body based on the size range of the pixel. It is difficult to rule out the interference of image noise, leaf veins, disease spots, etc. on the target.

3. The existing micro-insect automatic counting system counts the number of adult bemisia tabaci on an image file, and the user needs to go through a total of 7 steps of file opening, graying, inversion, parameter adjustment, binarization, counting, and saving the results Operation steps, if counting the number of adults of Bemisia tabaci in 100 image files, you need to operate at least 700 times, the operation is very cumbersome and lacks convenience

4. The existing automatic counting of tiny insects uses a global threshold to separate the target from the background. When the gray value of the target in the darker area of ​​the same image is the same as the background gray value in the brighter area, it will not be possible to separate all the targets from the background through the global threshold. to open

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