Acoustic dataset of coconut (Cocos nucifera) based on tapping system

During the fruit sample preparation process, coconut fruits classified under the tall coconut variety in their post-harvest period are considered the subject of this article. All samples are pre-classified by local farmers and experts into three maturity levels; premature, mature, and overmature. Ea...

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Main Authors: June Anne Caladcad, Eduardo Jr Piedad
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923000549
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author June Anne Caladcad
Eduardo Jr Piedad
author_facet June Anne Caladcad
Eduardo Jr Piedad
author_sort June Anne Caladcad
collection DOAJ
description During the fruit sample preparation process, coconut fruits classified under the tall coconut variety in their post-harvest period are considered the subject of this article. All samples are pre-classified by local farmers and experts into three maturity levels; premature, mature, and overmature. Each coconut underwent the synchronized tapping and recording process using developed hardware and software. The analog recordings are then converted into digital signals. Sampled frequency and amplitude in discrete-time signals of each sample went through a quantization process. The data presented in this article provides the general differentiation of the coconuts according to their maturity levels through their acoustic properties. This dataset can also be useful in creating an advanced and intelligent classification system of fruits through machine learning and deep learning techniques.
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spelling doaj.art-20efabc296c74eef8c590109c24fe46c2023-03-18T04:41:38ZengElsevierData in Brief2352-34092023-04-0147108936Acoustic dataset of coconut (Cocos nucifera) based on tapping systemJune Anne Caladcad0Eduardo Jr Piedad1Department of Industrial Engineering, University of San Carlos, Cebu City 6000, PhilippinesComputer Software Division, Advanced Science and Technology, Quezon City 1101, Philippines; Corresponding author.During the fruit sample preparation process, coconut fruits classified under the tall coconut variety in their post-harvest period are considered the subject of this article. All samples are pre-classified by local farmers and experts into three maturity levels; premature, mature, and overmature. Each coconut underwent the synchronized tapping and recording process using developed hardware and software. The analog recordings are then converted into digital signals. Sampled frequency and amplitude in discrete-time signals of each sample went through a quantization process. The data presented in this article provides the general differentiation of the coconuts according to their maturity levels through their acoustic properties. This dataset can also be useful in creating an advanced and intelligent classification system of fruits through machine learning and deep learning techniques.http://www.sciencedirect.com/science/article/pii/S2352340923000549CoconutSoundTappingCocos nuciferaAcoustic spectrumMachine learning
spellingShingle June Anne Caladcad
Eduardo Jr Piedad
Acoustic dataset of coconut (Cocos nucifera) based on tapping system
Data in Brief
Coconut
Sound
Tapping
Cocos nucifera
Acoustic spectrum
Machine learning
title Acoustic dataset of coconut (Cocos nucifera) based on tapping system
title_full Acoustic dataset of coconut (Cocos nucifera) based on tapping system
title_fullStr Acoustic dataset of coconut (Cocos nucifera) based on tapping system
title_full_unstemmed Acoustic dataset of coconut (Cocos nucifera) based on tapping system
title_short Acoustic dataset of coconut (Cocos nucifera) based on tapping system
title_sort acoustic dataset of coconut cocos nucifera based on tapping system
topic Coconut
Sound
Tapping
Cocos nucifera
Acoustic spectrum
Machine learning
url http://www.sciencedirect.com/science/article/pii/S2352340923000549
work_keys_str_mv AT juneannecaladcad acousticdatasetofcoconutcocosnuciferabasedontappingsystem
AT eduardojrpiedad acousticdatasetofcoconutcocosnuciferabasedontappingsystem