DEEP LEARNING-BASED DETECTION AND CLASSIFICATION OF RESIDUAL OIL CONTENT (ROC) IN SOYBEAN MEAL IMAGES Article Swipe
DEEP LEARNING-BASED DETECTION AND CLASSIFICATION OF RESIDUAL OIL CONTENT (ROC) IN SOYBEAN MEAL IMAGES
Related Topics
Concepts
Metadata
- Type
- article
- Landing Page
- https://doi.org/10.20372/nadre:21413
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7104946443
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7104946443Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.20372/nadre:21413Digital Object Identifier
- Title
-
DEEP LEARNING-BASED DETECTION AND CLASSIFICATION OF RESIDUAL OIL CONTENT (ROC) IN SOYBEAN MEAL IMAGESWork title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-11Full publication date if available
- Authors
-
Zekaryas Getnet MihretList of authors in order
- Landing page
-
https://doi.org/10.20372/nadre:21413Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.20372/nadre:21413Direct OA link when available
- Concepts
-
Residual, Residual oil, Soybean meal, Food science, Meal, Soybean oil, Content (measure theory), Deep frying, Mathematics, Artificial intelligence, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
Full payload
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