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Post-harvested Musa acuminata Banana Tiers Dataset
Post-harvested Musa acuminata banana species from a local banana plantation in the Philippines are the subject of this article. All banana tier samples used were pre-classified into four classes by a local expert. These four classifications are extra class, class I, class II, and reject. There are s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823153/ https://www.ncbi.nlm.nih.gov/pubmed/36624762 http://dx.doi.org/10.1016/j.dib.2022.108856 |
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author | Piedad, Eduardo Jr Caladcad, June Anne |
author_facet | Piedad, Eduardo Jr Caladcad, June Anne |
author_sort | Piedad, Eduardo Jr |
collection | PubMed |
description | Post-harvested Musa acuminata banana species from a local banana plantation in the Philippines are the subject of this article. All banana tier samples used were pre-classified into four classes by a local expert. These four classifications are extra class, class I, class II, and reject. There are six images captured per banana tier sample from the six different views. Each captured image underwent a three-step image transformation to finely extract the RGB numerical values while the size measurement feature was gathered through manual measurement. The dataset presented in this article provides a brief differentiation of the different classes of banana tiers for commercial use through image processing. This dataset can be useful in establishing an advanced intelligent system in a non-invasive approach through machine and deep learning techniques. |
format | Online Article Text |
id | pubmed-9823153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98231532023-01-08 Post-harvested Musa acuminata Banana Tiers Dataset Piedad, Eduardo Jr Caladcad, June Anne Data Brief Data Article Post-harvested Musa acuminata banana species from a local banana plantation in the Philippines are the subject of this article. All banana tier samples used were pre-classified into four classes by a local expert. These four classifications are extra class, class I, class II, and reject. There are six images captured per banana tier sample from the six different views. Each captured image underwent a three-step image transformation to finely extract the RGB numerical values while the size measurement feature was gathered through manual measurement. The dataset presented in this article provides a brief differentiation of the different classes of banana tiers for commercial use through image processing. This dataset can be useful in establishing an advanced intelligent system in a non-invasive approach through machine and deep learning techniques. Elsevier 2022-12-25 /pmc/articles/PMC9823153/ /pubmed/36624762 http://dx.doi.org/10.1016/j.dib.2022.108856 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Piedad, Eduardo Jr Caladcad, June Anne Post-harvested Musa acuminata Banana Tiers Dataset |
title | Post-harvested Musa acuminata Banana Tiers Dataset |
title_full | Post-harvested Musa acuminata Banana Tiers Dataset |
title_fullStr | Post-harvested Musa acuminata Banana Tiers Dataset |
title_full_unstemmed | Post-harvested Musa acuminata Banana Tiers Dataset |
title_short | Post-harvested Musa acuminata Banana Tiers Dataset |
title_sort | post-harvested musa acuminata banana tiers dataset |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823153/ https://www.ncbi.nlm.nih.gov/pubmed/36624762 http://dx.doi.org/10.1016/j.dib.2022.108856 |
work_keys_str_mv | AT piedadeduardojr postharvestedmusaacuminatabananatiersdataset AT caladcadjuneanne postharvestedmusaacuminatabananatiersdataset |