Post-harvested Musa acuminata Banana Tiers Dataset.

Content Provider	Europe PMC
Author	Piedad, Eduardo Jr Caladcad, June Anne
Copyright Year	2022
Abstract	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.
Journal	Data in Brief
Volume Number	46
PubMed Central reference number	PMC9823153
PubMed reference number	36624762
e-ISSN	23523409
DOI	10.1016/j.dib.2022.108856
Language	English
Publisher	Elsevier
Publisher Date	2022-12-25
Access Restriction	Open
Rights License	This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). © 2022 The Author(s)
Subject Keyword	Banana Musa acuminata RGB image LAB color
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary Education