Quality inspection of fertilizer granules using computer vision – a review
This research explores the fusion of computer vision and agricultural quality control. It investigates the efficacy of computer vision algorithms, particularly in image classification and object detection, for non-destructive assessment. These algorithms offer objective, rapid, and error-resistant a...
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| Main Authors: | I.K. Ndukwe, D.V. Yunovidov, M.R. Bahrami, M. Mazzara, T.O. Olugbade |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2025-02-01
|
| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | https://computeroptics.ru/KO/Annot/KO49-1/490111.html |
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