A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device

This dataset contains pH, TDS, and water temperature measurements using internet of things devices and sensors. The dataset is collected using an IoT sensor with ESP8266 as the microcontroller. Urban farmers can use this dataset with limited land in aquaponic cultivation as initial reference values...

Descripción completa

Detalles Bibliográficos
Autores principales: Siswanto, Boby, Dani, Yasi, Morika, Doni, Mardiyana, Bubun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293995/
https://www.ncbi.nlm.nih.gov/pubmed/37383739
http://dx.doi.org/10.1016/j.dib.2023.109248
_version_ 1785063104279740416
author Siswanto, Boby
Dani, Yasi
Morika, Doni
Mardiyana, Bubun
author_facet Siswanto, Boby
Dani, Yasi
Morika, Doni
Mardiyana, Bubun
author_sort Siswanto, Boby
collection PubMed
description This dataset contains pH, TDS, and water temperature measurements using internet of things devices and sensors. The dataset is collected using an IoT sensor with ESP8266 as the microcontroller. Urban farmers can use this dataset with limited land in aquaponic cultivation as initial reference values or novice researchers to implement basic machine learning algorithms. Measurements were made on aquaculture consisting of 1m(3) pond media with a water volume of 1 m x 1 m × 70 cm and hydroponic media with the Nutrient Film Technique (NFT) system. Measurements were carried out for three months from January 2023 to March 2023. The available datasets are raw data and filtered data.
format Online
Article
Text
id pubmed-10293995
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-102939952023-06-28 A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device Siswanto, Boby Dani, Yasi Morika, Doni Mardiyana, Bubun Data Brief Data Article This dataset contains pH, TDS, and water temperature measurements using internet of things devices and sensors. The dataset is collected using an IoT sensor with ESP8266 as the microcontroller. Urban farmers can use this dataset with limited land in aquaponic cultivation as initial reference values or novice researchers to implement basic machine learning algorithms. Measurements were made on aquaculture consisting of 1m(3) pond media with a water volume of 1 m x 1 m × 70 cm and hydroponic media with the Nutrient Film Technique (NFT) system. Measurements were carried out for three months from January 2023 to March 2023. The available datasets are raw data and filtered data. Elsevier 2023-05-18 /pmc/articles/PMC10293995/ /pubmed/37383739 http://dx.doi.org/10.1016/j.dib.2023.109248 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Siswanto, Boby
Dani, Yasi
Morika, Doni
Mardiyana, Bubun
A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device
title A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device
title_full A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device
title_fullStr A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device
title_full_unstemmed A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device
title_short A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device
title_sort simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293995/
https://www.ncbi.nlm.nih.gov/pubmed/37383739
http://dx.doi.org/10.1016/j.dib.2023.109248
work_keys_str_mv AT siswantoboby asimpledatasetofwaterqualityonaquaponicfishpondsbasedonaninternetofthingsmeasurementdevice
AT daniyasi asimpledatasetofwaterqualityonaquaponicfishpondsbasedonaninternetofthingsmeasurementdevice
AT morikadoni asimpledatasetofwaterqualityonaquaponicfishpondsbasedonaninternetofthingsmeasurementdevice
AT mardiyanabubun asimpledatasetofwaterqualityonaquaponicfishpondsbasedonaninternetofthingsmeasurementdevice
AT siswantoboby simpledatasetofwaterqualityonaquaponicfishpondsbasedonaninternetofthingsmeasurementdevice
AT daniyasi simpledatasetofwaterqualityonaquaponicfishpondsbasedonaninternetofthingsmeasurementdevice
AT morikadoni simpledatasetofwaterqualityonaquaponicfishpondsbasedonaninternetofthingsmeasurementdevice
AT mardiyanabubun simpledatasetofwaterqualityonaquaponicfishpondsbasedonaninternetofthingsmeasurementdevice

Ejemplares similares