A rapid identification method for edible oil types based on multi-source spectral feature fusion
A spectral feature, edible oil technology, applied in the field of rapid identification of edible oil types based on multi-source spectral feature fusion, can solve problems such as infringing on the interests of consumers and legitimate production and sales enterprises, and achieve strong practical value and promotion value, generalization The effect of strong ability and prediction ability, high identification accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0040] 1. Sample selection
[0041] A total of 157 edible oil samples of soybean oil, peanut oil, rapeseed oil, tea seed oil, rice oil, corn oil, sunflower oil, and olive oil were collected, and the calibration set samples of edible oil were selected by using the SPXY algorithm at a ratio of 3:1 118 samples and 39 edible oil prediction set samples, among which the edible oil calibration set samples were used to optimize the establishment of the qualitative model, and the edible oil prediction set samples were used to optimize the performance verification of the qualitative model; among them, the prediction set samples of 8 types of edible oil samples And the distribution of the number of samples in the calibration set is shown in Table 1.
[0042] Table 1
[0043] type
serial number
prediction set
Calibration set
Subtotal
Soybean oil
1
7
18
25
peanut oil
2
7
17
24
canola oil
3
4
29
33
Tea...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com