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Using machine learning techniques and different color spaces for the classification of Cape gooseberry (Physalis peruviana L.) fruits according to ripeness level

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30 days ago
RT @a4lg: ディープラーニングで使う色空間によって色々変わるのか不思議だった。―――条件によっては、あるらしい。PeerJ 掲載のこの論文では果物の熟し方を判別するときの色空間や分類アルゴリズムを変えて実験している。 https://t.co/rMOrrLATL9
RT @a4lg: ディープラーニングで使う色空間によって色々変わるのか不思議だった。―――条件によっては、あるらしい。PeerJ 掲載のこの論文では果物の熟し方を判別するときの色空間や分類アルゴリズムを変えて実験している。 https://t.co/rMOrrLATL9
RT @a4lg: ディープラーニングで使う色空間によって色々変わるのか不思議だった。―――条件によっては、あるらしい。PeerJ 掲載のこの論文では果物の熟し方を判別するときの色空間や分類アルゴリズムを変えて実験している。 https://t.co/rMOrrLATL9
ディープラーニングで使う色空間によって色々変わるのか不思議だった。―――条件によっては、あるらしい。PeerJ 掲載のこの論文では果物の熟し方を判別するときの色空間や分類アルゴリズムを変えて実験している。 https://t.co/rMOrrLATL9
277 days ago
Using machine learning techniques and different color spaces for the classification of Cape gooseberry (Physalis peruviana L.) fruits according to ripeness level https://t.co/LLr36TH9NC
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Supplemental Information

Ripening levels of Cape gooseberry fruits

A dataset with information about color spaces (A) RGB, (B) SVM, and (C) L * a * b *, corresponding to seven ripening levels of Cape gooseberry fruits.

DOI: 10.7287/peerj.preprints.26691v1/supp-1

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Carlos Cotrina performed the experiments, prepared figures and/or tables, approved the final draft.

Karen Bazán performed the experiments, prepared figures and/or tables, approved the final draft.

Jimy Oblitas conceived and designed the experiments, contributed reagents/materials/analysis tools, approved the final draft.

Himer Avila-George analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Wilson Castro conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

The raw data/code is uploaded as a supp file.

Funding

This project was partially supported by Investigation and innovation area, Vicarrectorado of investigation, Universidad Privada del Norte (Perú); and Cátedras CONACYT (México) - Fortalecimiento de las capacidades de TICs en Nayarit, Project number 2143. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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