Methods for identifying pine wood nematode-infected discolored woods in mixed coniferous and broadleaf forests
US12423971B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2025 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | May 20, 2045 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/17
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a method for identifying a pine wood nematode-infected discolored wood in a mixed coniferous and broadleaf forest, including inputting a pine forest image of the mixed coniferous and broadleaf forest to be identified into a trained identification model for the pine wood nematode-infected discolored wood to identify the pine wood nematode-infected discolored wood in the mixed coniferous and broadleaf forest, wherein the trained identification model is improved based on a you Only Look Once version 5 small (YOLOv5s) model by connecting a feature-filtering module after a Neck; constructing a feature-enhancing module to replace a C3 module in a Backbone; constructing a convolution-transformer module based on multi-head self-attention (MSHA) to connect after a last layer of residual units in the Backbone; constructing, by Group Shuffle Convolution (GSConv), a multi-scale feature fusion layer to replace an ordinary convolution in the Neck.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.