Post-harvested Musa acuminata Banana Tiers Dataset

Eduardo Jr Piedad; June Anne Caladcad

doi:10.1016/j.dib.2022.108856

Post-harvested Musa acuminata Banana Tiers Dataset

Data Brief. 2022 Dec 25:46:108856. doi: 10.1016/j.dib.2022.108856. eCollection 2023 Feb.

Authors

Eduardo Jr Piedad¹, June Anne Caladcad²

Affiliations

¹ Computer Software Division, Advanced Science and Technology, Quezon City 1101, Philippines.
² Department of Industrial Engineering, University of San Carlos, Cebu City 6000, Philippines.

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.

Keywords: Banana; LAB color; Musa acuminata; RGB image.