Potato Grading Based on Size Features by Machine Vision Technique Article Swipe
Md. Hamidul Islam
,
Anisur Rahman
,
Sohel Rana
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5455/jbau.123862
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5455/jbau.123862
In this study, a method was established to grade the potato-based on size features using a machine vision technique with image processing and multivariate analysis method. The individual potatoes image was captured using a color camera sensor with white LED lighting conditions in the laboratory. An image processing algorithm was developed for extracting the size (major, minor, and surface area) features from 57 potato images. Using these extracted feature data, the potato was classified using the partial least squares-discriminant analysis (PLS-DA) algorithm, and the overall accuracy was achieved at 86%. Finally, it was stated that the PLS-DA classification algorithm with size features could be used for grading the potato in Bangladesh. [J Bangladesh Agril Univ 2021; 19(4.000): 528-532]
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5455/jbau.123862
- OA Status
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- Cited By
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4205680648
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https://openalex.org/W4205680648Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5455/jbau.123862Digital Object Identifier
- Title
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Potato Grading Based on Size Features by Machine Vision TechniqueWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2021Year of publication
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2021-01-01Full publication date if available
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Md. Hamidul Islam, Anisur Rahman, Sohel RanaList of authors in order
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https://doi.org/10.5455/jbau.123862Publisher landing page
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.5455/jbau.123862Direct OA link when available
- Concepts
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Grading (engineering), Artificial intelligence, Computer vision, Computer science, Pattern recognition (psychology), Mathematics, Engineering, Civil engineeringTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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