Method for constructing a convolution neural network based on farmland images, electronic device using the same
US12013917B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2021 |
| Grant date | Jun 18, 2024 |
| Priority date | — |
| Expiry date | Oct 15, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30188
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for constructing a convolutional neural network model based on farmland images is applied in an electronic device. The method includes following steps: obtaining a number of farmland images of at least one farmland; obtaining a plurality of standard segmentation farmland images corresponding to each of the farmland images; dividing the farmland images and the standard segmentation farmland images into a training image set and a test image set; taking the farmland images and the standard segmentation farmland images in the training image set as input of a convolutional neural network, and constructing a convolutional neural network model based on the farmland images; and verifying the convolutional neural network model by using the farmland images in the test image set and the standard segmentation farmland images, and optimizing a plurality of parameters of the convolutional neural network model based on the farmland images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.