KU-ANRB: Khulna University Artificially and Naturally Ripened Banana VOC Sensor Dataset

Published: 14 October 2026| Version 1 | DOI: 10.17632/brnbzn5vn5.1
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Description

This dataset contains raw VOC sensor-response data collected from naturally ripened (NRB) and artificially ripened bananas (ARB) over a 14-day monitoring period. Artificial ripening was induced using a 1.2 g/L ethephon-water solution for 5 minutes, while the remaining bananas were allowed to ripen naturally. A five-sensor MOS array consisting of TGS2602, TGS2603, TGS2610, TGS2612, and TGS2620 was connected to an NI myRIO and LabVIEW for automated data acquisition. VOCs were allowed to accumulate for 20 minutes, followed by 5 minutes of sensor-response measurement at 1-second intervals. The sensing chamber was subsequently cleared for 5 minutes. The dataset is systematically organized into two primary directories: “Artificially Ripened Banana Sensor-array Response” and “Naturally Ripened Banana Sensor-array Response.” Each directory contains 14 day-wise folders, designated “Sensor Data Day 1” through “Sensor Data Day 14.” The raw sensor responses are provided in CSV format without steady-state selection, averaging, or machine-learning preprocessing, allowing independent preprocessing and analysis. The dataset structure is as follows: VOC Dataset/ - Artificially Ripened Banana Sensor-array Response/ - Sensor Data Day 1–Day 14 - Naturally Ripened Banana Sensor-array Response/ - Sensor Data Day 1–Day 14 The complete dataset contains 1009 samples of raw sensor-array measurements.

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Steps to reproduce

1. Divide unripe bananas into naturally ripened (NRB) and artificially ripened (ARB) groups. For ARB, treat with 1.2 g/L ethephon solution for 5 minutes and allow ripening for 12 hours. 2. Use a five-sensor array (TGS2602, TGS2603, TGS2610, TGS2612, and TGS2620) connected to NI myRIO and LabVIEW. 3. Place the sample in the sealed chamber and allow VOC accumulation for 20 minutes. 4. Record five-channel sensor responses at 1-second intervals for 5 minutes. 5. Clear the sensing chamber for 5 minutes and repeat the cycle throughout the 14-day monitoring period for both NRB and ARB samples. 6. Store the raw sensor responses as CSV files.

Categories

Data Science, Agricultural Sensor, Food Quality Assessment

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