Method and system for monitoring conopomorpha sinensis

A litchi pedicle borer and monitoring system technology, applied in image data processing, instruments, calculations, etc., can solve problems such as revenue decline, inability to monitor, and affect quality, etc., to reduce manpower burden, high degree of intelligence, and good insect removal effect Effect

Pending Publication Date: 2022-04-15
广州市荔鼎生态农业开发有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the later period, it harms the tender stems and young leaves. The insect uses larvae to bore into the top of the tender stem and the midrib of the young leaves. The top of the damaged shoots dies, the midrib of the damaged leaves turns brown, and the epidermis ruptures. In the flowering stage, the insect damages the flower spikes, and the larvae drill into the flowers. The tender stem of the ear is near the top, causing the flower ear to dry and wilt and harm the fruit during the fruit stage. The young fruit eats the core during the expansion stage, resulting in fruit drop. After the fruit develops to color, eggs are laid at the crack near the fruit base, and the larvae hatch Afterwards, the seed stalks are eaten directly from the eggs bored into the fruit, and the insect feces are left in the stalks, which not only affects the fruit development, but also causes pre-harvest fruit drop, and more seriously affects the quality, resulting in a substantial drop in income.
[0003] At present, the prevention and control of litchi pedicle borer mainly relies on manual monitoring and artificial spraying, but there is no guarantee that the monitoring of pests will be carried out 24 hours a day, such as at night

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for monitoring conopomorpha sinensis
  • Method and system for monitoring conopomorpha sinensis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Such as figure 1 As shown, the invention provides a kind of monitoring method of litchi pedicle borer, comprising:

[0028] Collect the original image of the litchi pedicle borer, and preprocess the original image to obtain a grayscale image;

[0029] Perform median filtering on the grayscale image, and then perform image segmentation, divide the image into regions with various characteristics and extract the target of interest;

[0030] Remove the noise from the segmented image, and then use it as the target image for feature extraction;

[0031] Based on the extracted features, the feature pattern library of litchi pedicle borers was established;

[0032] According to the feature pattern library, the litchi pedicle borers to be identified are identified.

[0033] First, the grayscale image obtained after preprocessing the original image is not limited to the component method, the maximum value method, the average value method, and the weighted average method. The c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a conopomorpha sinensis moth monitoring method and system, and the method comprises the steps: collecting an original image of conopomorpha sinensis moth, and carrying out the preprocessing of the original image, and obtaining a gray image; median filtering is carried out on the grayscale image, then image segmentation is carried out, the image is divided into regions with characteristics, and an interested target is extracted; removing noise from the segmented image, and then performing feature extraction on the segmented image as a target image; establishing a feature pattern library of conopomorpha sinensis based on the extracted features; and according to the feature pattern library, identifying conopomorpha sinensis to be identified subsequently. Through the image recognition technology, automatic monitoring of insect pest conditions is achieved, pesticide can be automatically sprayed for targeted deinsectization, manual on-site management is not needed, the intelligent degree is high, the deinsectization effect is good, and the labor burden is relieved.

Description

technical field [0001] The invention relates to the technical field of pest monitoring, in particular to a monitoring method and system for litchi pedicle borers. Background technique [0002] Litchi pedicle borers belong to the order Lepidoptera and the family Mothidae. Distributed in the main producing areas of litchi in China, India, Thailand, South Africa and so on. It not only harms litchi, but also seriously harms longan. According to the survey in the longan garden of South China Agricultural University, 48% of longan fruit drop is caused by pedicle borers; it not only seriously harms fruit, but also harms tender stems, leaves, and flowers ear. In the later period, it harms the tender stems and young leaves. The insect uses larvae to bore into the top of the tender stem and the midrib of the young leaves. The top of the damaged shoots dies, the midrib of the damaged leaves turns brown, and the epidermis ruptures. In the flowering stage, the insect damages the flower...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T5/00
Inventor 邓志锋刘锐波冼继东胡桂兵伍伟根周汉游郭舜勋黎兆安
Owner 广州市荔鼎生态农业开发有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products