Anomaly Detection of Parasitic Plankton in Brebes Eco-Waters Using Vision-Based Autoencoder AI Article Swipe

PDF

Gunawan Gunawan , Wresti Andriani , Sesilia Putri Maryanto , Restu Abi Mustaqiim ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.35335/75mwxm55

The escalating impact of environmental stress on coastal ecosystems necessitates reliable, scalable tools for monitoring marine biodiversity. This study proposes an unsupervised anomaly detection framework to identify parasitic and morphologically abnormal plankton in the waters of Brebes, Indonesia. The primary aim is to develop an interpretable, vision-based system capable of detecting visual anomalies without relying on labeled anomaly data. The research integrates convolutional autoencoders for reconstructing normal plankton images, Principal Component Analysis (PCA) for feature extraction, and One-Class Support Vector Machines (OC-SVM) for classification. Monthly microscopic images were obtained from selected mangrove and aquaculture pond sites in Brebes, Central Java, using portable digital microscopy under standardized field conditions. Images that exceeded a dynamic reconstruction threshold were flagged as anomalous and validated by marine biology experts. The system achieved an F1-score of 86.1%, a precision of 85.3%, and an AUC of 0.94, demonstrating high effectiveness in distinguishing between normal and anomalous plankton. With an average inference time of 0.37 seconds per image, the system supports near real-time monitoring. These results confirm the potential of the proposed method as a low-latency, field-deployable solution for aquatic ecosystem surveillance. By integrating AI-based detection with ecological expert validation, this research offers a scalable approach for marine biodiversity assessment and establishes a foundation for future adaptive environmental monitoring systems.

Related Topics

Counterfeit Banknote Detection Pen

Error Detection And Correction

Object Detection

Corner Detection

South Atlantic Anomaly

Mean Anomaly

Detection Dog

Concepts

No concepts available.

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.35335/75mwxm55
PDF: https://pub.iocscience.org/index.php/Vertex/article/download/117/101
OA Status: diamond
OpenAlex ID: https://openalex.org/W4414822220

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4414822220

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.35335/75mwxm55

Digital Object Identifier
Title: Anomaly Detection of Parasitic Plankton in Brebes Eco-Waters Using Vision-Based Autoencoder AI

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2025

Year of publication
Publication date: 2025-06-30

Full publication date if available
Authors: Gunawan Gunawan, Wresti Andriani, Sesilia Putri Maryanto, Restu Abi Mustaqiim

List of authors in order
Landing page: https://doi.org/10.35335/75mwxm55

Publisher landing page
PDF URL: https://pub.iocscience.org/index.php/Vertex/article/download/117/101

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: diamond

Open access status per OpenAlex
OA URL: https://pub.iocscience.org/index.php/Vertex/article/download/117/101

Direct OA link when available
Cited by: 0

Total citation count in OpenAlex

Full payload

id	https://openalex.org/W4414822220
doi	https://doi.org/10.35335/75mwxm55
ids.doi	https://doi.org/10.35335/75mwxm55
ids.openalex	https://openalex.org/W4414822220
fwci	0.0
type	article
title	Anomaly Detection of Parasitic Plankton in Brebes Eco-Waters Using Vision-Based Autoencoder AI
biblio.issue	2
biblio.volume	14
biblio.last_page	95
biblio.first_page	79
topics[0].id	https://openalex.org/T12388
topics[0].field.id	https://openalex.org/fields/13
topics[0].field.display_name	Biochemistry, Genetics and Molecular Biology
topics[0].score	0.6930999755859375
topics[0].domain.id	https://openalex.org/domains/1
topics[0].domain.display_name	Life Sciences
topics[0].subfield.id	https://openalex.org/subfields/1312
topics[0].subfield.display_name	Molecular Biology
topics[0].display_name	Identification and Quantification in Food
is_xpac	False
apc_list
apc_paid
language	en
locations[0].id	doi:10.35335/75mwxm55
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4387291680
locations[0].source.issn	2089-385X, 2829-6761
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	2089-385X
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	Vertex
locations[0].source.host_organization	https://openalex.org/P4310312730
locations[0].source.host_organization_name	Institute of Computer Science
locations[0].source.host_organization_lineage	https://openalex.org/P4310312730
locations[0].source.host_organization_lineage_names	Institute of Computer Science
locations[0].license	cc-by
locations[0].pdf_url	https://pub.iocscience.org/index.php/Vertex/article/download/117/101
locations[0].version	publishedVersion
locations[0].raw_type	journal-article
locations[0].license_id	https://openalex.org/licenses/cc-by
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Vertex
locations[0].landing_page_url	https://doi.org/10.35335/75mwxm55
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5110950650
authorships[0].author.orcid
authorships[0].author.display_name	Gunawan Gunawan
authorships[0].author_position	first
authorships[0].raw_author_name	Gunawan Gunawan
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5013718360
authorships[1].author.orcid
authorships[1].author.display_name	Wresti Andriani
authorships[1].author_position	middle
authorships[1].raw_author_name	Wresti Andriani
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5119846095
authorships[2].author.orcid
authorships[2].author.display_name	Sesilia Putri Maryanto
authorships[2].author_position	middle
authorships[2].raw_author_name	Sesilia Putri Maryanto
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5119846096
authorships[3].author.orcid
authorships[3].author.display_name	Restu Abi Mustaqiim
authorships[3].author_position	last
authorships[3].raw_author_name	Restu Abi Mustaqiim
authorships[3].is_corresponding	False
has_content.pdf	True
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://pub.iocscience.org/index.php/Vertex/article/download/117/101
open_access.oa_status	diamond
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Anomaly Detection of Parasitic Plankton in Brebes Eco-Waters Using Vision-Based Autoencoder AI
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T12388
primary_topic.field.id	https://openalex.org/fields/13
primary_topic.field.display_name	Biochemistry, Genetics and Molecular Biology
primary_topic.score	0.6930999755859375
primary_topic.domain.id	https://openalex.org/domains/1
primary_topic.domain.display_name	Life Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1312
primary_topic.subfield.display_name	Molecular Biology
primary_topic.display_name	Identification and Quantification in Food
cited_by_count	0
locations_count	1
best_oa_location.id	doi:10.35335/75mwxm55
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4387291680
best_oa_location.source.issn	2089-385X, 2829-6761
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	2089-385X
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	Vertex
best_oa_location.source.host_organization	https://openalex.org/P4310312730
best_oa_location.source.host_organization_name	Institute of Computer Science
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310312730
best_oa_location.source.host_organization_lineage_names	Institute of Computer Science
best_oa_location.license	cc-by
best_oa_location.pdf_url	https://pub.iocscience.org/index.php/Vertex/article/download/117/101
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id	https://openalex.org/licenses/cc-by
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Vertex
best_oa_location.landing_page_url	https://doi.org/10.35335/75mwxm55
primary_location.id	doi:10.35335/75mwxm55
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4387291680
primary_location.source.issn	2089-385X, 2829-6761
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	2089-385X
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	Vertex
primary_location.source.host_organization	https://openalex.org/P4310312730
primary_location.source.host_organization_name	Institute of Computer Science
primary_location.source.host_organization_lineage	https://openalex.org/P4310312730
primary_location.source.host_organization_lineage_names	Institute of Computer Science
primary_location.license	cc-by
primary_location.pdf_url	https://pub.iocscience.org/index.php/Vertex/article/download/117/101
primary_location.version	publishedVersion
primary_location.raw_type	journal-article
primary_location.license_id	https://openalex.org/licenses/cc-by
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Vertex
primary_location.landing_page_url	https://doi.org/10.35335/75mwxm55
publication_date	2025-06-30
publication_year	2025
referenced_works_count	0
abstract_inverted_index.a	111, 132, 177, 196, 205
abstract_inverted_index.By	185
abstract_inverted_index.an	20, 44, 128, 137, 152
abstract_inverted_index.as	117, 176
abstract_inverted_index.by	121
abstract_inverted_index.in	32, 96, 144
abstract_inverted_index.is	41
abstract_inverted_index.of	3, 35, 49, 130, 134, 139, 156, 172
abstract_inverted_index.on	6, 55
abstract_inverted_index.to	25, 42
abstract_inverted_index.AUC	138
abstract_inverted_index.The	0, 38, 59, 125
abstract_inverted_index.aim	40
abstract_inverted_index.and	28, 76, 92, 119, 136, 148, 203
abstract_inverted_index.for	13, 64, 73, 82, 181, 199, 207
abstract_inverted_index.per	159
abstract_inverted_index.the	33, 161, 170, 173
abstract_inverted_index.0.37	157
abstract_inverted_index.This	17
abstract_inverted_index.With	151
abstract_inverted_index.from	89
abstract_inverted_index.high	142
abstract_inverted_index.near	164
abstract_inverted_index.pond	94
abstract_inverted_index.that	109
abstract_inverted_index.this	193
abstract_inverted_index.time	155
abstract_inverted_index.were	87, 115
abstract_inverted_index.with	189
abstract_inverted_index.(PCA)	72
abstract_inverted_index.0.94,	140
abstract_inverted_index.Java,	99
abstract_inverted_index.These	167
abstract_inverted_index.data.	58
abstract_inverted_index.field	106
abstract_inverted_index.sites	95
abstract_inverted_index.study	18
abstract_inverted_index.tools	12
abstract_inverted_index.under	104
abstract_inverted_index.using	100
abstract_inverted_index.85.3%,	135
abstract_inverted_index.86.1%,	131
abstract_inverted_index.Images	108
abstract_inverted_index.Vector	79
abstract_inverted_index.expert	191
abstract_inverted_index.future	208
abstract_inverted_index.image,	160
abstract_inverted_index.images	86
abstract_inverted_index.impact	2
abstract_inverted_index.marine	15, 122, 200
abstract_inverted_index.method	175
abstract_inverted_index.normal	66, 147
abstract_inverted_index.offers	195
abstract_inverted_index.stress	5
abstract_inverted_index.system	47, 126, 162
abstract_inverted_index.visual	51
abstract_inverted_index.waters	34
abstract_inverted_index.Brebes,	36, 97
abstract_inverted_index.Central	98
abstract_inverted_index.Monthly	84
abstract_inverted_index.Support	78
abstract_inverted_index.anomaly	22, 57
abstract_inverted_index.aquatic	182
abstract_inverted_index.average	153
abstract_inverted_index.between	146
abstract_inverted_index.biology	123
abstract_inverted_index.capable	48
abstract_inverted_index.coastal	7
abstract_inverted_index.confirm	169
abstract_inverted_index.develop	43
abstract_inverted_index.digital	102
abstract_inverted_index.dynamic	112
abstract_inverted_index.feature	74
abstract_inverted_index.flagged	116
abstract_inverted_index.images,	68
abstract_inverted_index.labeled	56
abstract_inverted_index.primary	39
abstract_inverted_index.relying	54
abstract_inverted_index.results	168
abstract_inverted_index.seconds	158
abstract_inverted_index.without	53
abstract_inverted_index.(OC-SVM)	81
abstract_inverted_index.AI-based	187
abstract_inverted_index.Analysis	71
abstract_inverted_index.F1-score	129
abstract_inverted_index.Machines	80
abstract_inverted_index.abnormal	30
abstract_inverted_index.achieved	127
abstract_inverted_index.adaptive	209
abstract_inverted_index.approach	198
abstract_inverted_index.exceeded	110
abstract_inverted_index.experts.	124
abstract_inverted_index.identify	26
abstract_inverted_index.mangrove	91
abstract_inverted_index.obtained	88
abstract_inverted_index.plankton	31, 67
abstract_inverted_index.portable	101
abstract_inverted_index.proposed	174
abstract_inverted_index.proposes	19
abstract_inverted_index.research	60, 194
abstract_inverted_index.scalable	11, 197
abstract_inverted_index.selected	90
abstract_inverted_index.solution	180
abstract_inverted_index.supports	163
abstract_inverted_index.systems.	212
abstract_inverted_index.Component	70
abstract_inverted_index.One-Class	77
abstract_inverted_index.Principal	69
abstract_inverted_index.anomalies	52
abstract_inverted_index.anomalous	118, 149
abstract_inverted_index.detecting	50
abstract_inverted_index.detection	23, 188
abstract_inverted_index.ecosystem	183
abstract_inverted_index.framework	24
abstract_inverted_index.inference	154
abstract_inverted_index.parasitic	27
abstract_inverted_index.plankton.	150
abstract_inverted_index.potential	171
abstract_inverted_index.precision	133
abstract_inverted_index.real-time	165
abstract_inverted_index.reliable,	10
abstract_inverted_index.threshold	114
abstract_inverted_index.validated	120
abstract_inverted_index.Indonesia.	37
abstract_inverted_index.assessment	202
abstract_inverted_index.ecological	190
abstract_inverted_index.ecosystems	8
abstract_inverted_index.escalating	1
abstract_inverted_index.foundation	206
abstract_inverted_index.integrates	61
abstract_inverted_index.microscopy	103
abstract_inverted_index.monitoring	14, 211
abstract_inverted_index.aquaculture	93
abstract_inverted_index.conditions.	107
abstract_inverted_index.establishes	204
abstract_inverted_index.extraction,	75
abstract_inverted_index.integrating	186
abstract_inverted_index.microscopic	85
abstract_inverted_index.monitoring.	166
abstract_inverted_index.validation,	192
abstract_inverted_index.autoencoders	63
abstract_inverted_index.biodiversity	201
abstract_inverted_index.low-latency,	178
abstract_inverted_index.necessitates	9
abstract_inverted_index.standardized	105
abstract_inverted_index.unsupervised	21
abstract_inverted_index.vision-based	46
abstract_inverted_index.biodiversity.	16
abstract_inverted_index.convolutional	62
abstract_inverted_index.demonstrating	141
abstract_inverted_index.effectiveness	143
abstract_inverted_index.environmental	4, 210
abstract_inverted_index.surveillance.	184
abstract_inverted_index.distinguishing	145
abstract_inverted_index.interpretable,	45
abstract_inverted_index.reconstructing	65
abstract_inverted_index.reconstruction	113
abstract_inverted_index.classification.	83
abstract_inverted_index.morphologically	29
abstract_inverted_index.field-deployable	179
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	4
citation_normalized_percentile.value	0.4367015
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False