Seed purity assessment by means of spectral imaging
In this work, we propose a technique for identifying impurity grains from spectral images using neural networks that is able to analyze a heap of seeds, grouping grains with similar spectral and morphological characteristics and optimizing the main stages of forming a training sample of a neural net...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2025-06-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | https://computeroptics.ru/eng/KO/Annot/KO49-3/490312e.html |
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