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Citrus orchard pest identification and alarm system and method based on image identification

An image recognition and image acquisition system technology, applied in the field of pest control, can solve problems such as the loss of fruit farmers, no small pest damage, etc., to achieve the effect of improving efficiency and accuracy, eliminating errors and interference, and reducing substandard images

Pending Publication Date: 2020-08-07
ZHONGKAI UNIV OF AGRI & ENG
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Spray the citrus orchards infested with insects. Therefore, the traditional method is often a passive operation. Because it takes a period of time to produce effects after spraying, the fruit trees in the citrus orchards are often infested by insects, causing serious damage to the fruit growers. no small loss

Method used

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  • Citrus orchard pest identification and alarm system and method based on image identification
  • Citrus orchard pest identification and alarm system and method based on image identification

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Embodiment Construction

[0030] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0031] Such as figure 1 and figure 2 Shown:

[0032] A specific technical scheme of an image recognition-based citrus orchard pest identification and alarm method is as follows:

[0033] A citrus orchard pest identification and alarm method based on image recognition, comprising the following steps:

[0034] S1: Collect normal photos of fruit trees and photos of insect damage, and save them in the training database as a training data set;

[0035] S2: The preprocessing module performs denoising and smoothing preprocessing on the pictures in the training data set to enhance the features of the images in the data set;

[0036] S3: The feature ...

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Abstract

A citrus orchard pest identification and alarm method based on image identification comprises the following steps that S1, normal pictures of fruit trees and pictures suffering from pests are collected, and the pictures are stored in a training database as a training data set; s2, a preprocessing module performs de-noising and smoothing preprocessing on the pictures in the training data set, and is used for enhancing features of the pictures in the data set; s3, a feature extraction module extracts features of the photos in the data set to obtain a feature data set; s4, the data processing module trains an image recognition model, the feature data set serves as input data, and the image recognition model outputs a result of whether the fruit trees have insect pests or not. An image acquisition system is adopted to acquire images of fruit trees in a fruit forest, and the images are identified through a trained image identification model, so that errors and interference caused by artificial experience are eliminated, and meanwhile, the efficiency and the accuracy are greatly improved.

Description

technical field [0001] The invention relates to the field of pest control, in particular to a system and method for identifying and alarming citrus orchard pests and diseases based on image recognition. Background technique [0002] In the process of pest control in traditional citrus orchards, workers collect data based on experience, and workers observe in citrus orchards to see whether the fruit trees in the orchard are relatively normal. At the same time, the pest situation can only be judged after the pest has occurred for a period of time. Spray the citrus orchards infested with insects. Therefore, the traditional method is often a passive operation. Because it takes a period of time to produce effects after spraying, the fruit trees in the citrus orchards are often infested by insects, causing serious damage to the fruit growers. No small loss. Therefore, in order to predict whether pests will occur in advance, carry out early warning and spraying, avoid pests, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62A01G13/00A01M7/00G06N3/04G06N3/08G06T5/00
CPCG06T7/0002A01G13/00A01M7/0089G06T2207/20081G06T2207/20084G06N3/08G06N3/045G06F18/241G06T5/70
Inventor 曹亮李湘丽刘双印徐龙琴林进添冯大春郭鹏飞吴仲真
Owner ZHONGKAI UNIV OF AGRI & ENG
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