Method for acquiring coverage rate of fog drops on blade based on neural network
Through the neural network-based image processing method, efficient and accurate detection of the distribution of mist droplets on crop leaves in the sprayed pesticides by drones, solving the problem of low detection efficiency in the prior art and improving the spraying effect.
CN119649206APending Publication Date: 2025-03-18SOUTH CHINA AGRICULTURAL UNIVERSITY
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Patent Information
- Application Number
- CN202411539498.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-30
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
The prior art is difficult to achieve efficient and accurate detection of the distribution of droplets on crop leaves, affecting the efficiency of the drone's spraying of pesticides.
Method used
Using a neural network-based image processing method, the original image is segmented through a pre-trained image processing model, the images of the blades and droplets are obtained respectively, and the coverage ratio of the droplets on the blades is calculated.
Benefits of technology
It realizes efficient and accurate detection of the distribution of fog droplets on the blades, and improves the efficiency of the drone's spraying of pesticides.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to a method for obtaining the coverage rate of fog drops on a blade based on a neural network. The method for obtaining the coverage rate of the fog drops on the blade based on the neural network comprises the steps that an original image is obtained, and the original image comprises the blade and the fog drops deposited on the blade; segmenting a leaf in the original image according to a pre-trained first image processing model to obtain a leaf image; determining a processed original image according to the leaf image and the original image; segmenting fog drops in the processed original image according to a pre-trained second image processing model to obtain a fog drop image; and determining the coverage rate of the fog drops on the leaf according to the leaf image and the fog drop image. According to the method for acquiring the coverage rate of the fog drops on the blade based on the neural network, the distribution condition of the fog drops on the blade can be efficiently and accurately detected.
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