Neural network modelling for dissolved oxygen effects in extensive litopenaeus vannamei culture

José Juan Carbajal-Hernández; Luis Pastor Sánchez-Fernández

doi:10.1007/978-3-319-62428-0_10

Neural network modelling for dissolved oxygen effects in extensive litopenaeus vannamei culture

José Juan Carbajal-Hernández, Luis Pastor Sánchez-Fernández

Centro de Investigación en Computación (CIC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Shrimp aquaculture is an important activity currently practiced worldwide. Dissolved oxygen can be lethal in organisms when low concentrations are present in an extensive cultured pond. According to this, a new computational model for dissolved oxygen assessment using artificial neural networks is proposed. Measurements from environmental parameters related with dissolved oxygen were used, classifying those negative situations that can affect the environmental stability of the ecosystem. As a result, an indicator concerning the good or bad water quality condition is obtained. Finally, comparisons against models reported in literature show the good performance of the proposed model.

Original language	English
Title of host publication	Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings
Editors	Obdulia Pichardo-Lagunas, Sabino Miranda-Jimenez
Publisher	Springer Verlag
Pages	132-140
Number of pages	9
ISBN (Print)	9783319624273
DOIs	https://doi.org/10.1007/978-3-319-62428-0_10
State	Published - 2017
Event	15th Mexican International Conference on Artificial Intelligence, MICAI 2016 - Cancun, Mexico Duration: 23 Oct 2016 → 28 Oct 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10062 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th Mexican International Conference on Artificial Intelligence, MICAI 2016
Country/Territory	Mexico
City	Cancun
Period	23/10/16 → 28/10/16

Keywords

Aquaculture
Dissolved oxygen
Neural networks
Shrimp

Access to Document

10.1007/978-3-319-62428-0_10

Cite this

Carbajal-Hernández, J. J., & Sánchez-Fernández, L. P. (2017). Neural network modelling for dissolved oxygen effects in extensive litopenaeus vannamei culture. In O. Pichardo-Lagunas, & S. Miranda-Jimenez (Eds.), Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings (pp. 132-140). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10062 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-62428-0_10

Carbajal-Hernández, José Juan ; Sánchez-Fernández, Luis Pastor. / Neural network modelling for dissolved oxygen effects in extensive litopenaeus vannamei culture. Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings. editor / Obdulia Pichardo-Lagunas ; Sabino Miranda-Jimenez. Springer Verlag, 2017. pp. 132-140 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Shrimp aquaculture is an important activity currently practiced worldwide. Dissolved oxygen can be lethal in organisms when low concentrations are present in an extensive cultured pond. According to this, a new computational model for dissolved oxygen assessment using artificial neural networks is proposed. Measurements from environmental parameters related with dissolved oxygen were used, classifying those negative situations that can affect the environmental stability of the ecosystem. As a result, an indicator concerning the good or bad water quality condition is obtained. Finally, comparisons against models reported in literature show the good performance of the proposed model.",

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Carbajal-Hernández, JJ & Sánchez-Fernández, LP 2017, Neural network modelling for dissolved oxygen effects in extensive litopenaeus vannamei culture. in O Pichardo-Lagunas & S Miranda-Jimenez (eds), Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10062 LNAI, Springer Verlag, pp. 132-140, 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancun, Mexico, 23/10/16. https://doi.org/10.1007/978-3-319-62428-0_10

Neural network modelling for dissolved oxygen effects in extensive litopenaeus vannamei culture. / Carbajal-Hernández, José Juan ; Sánchez-Fernández, Luis Pastor.
Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings. ed. / Obdulia Pichardo-Lagunas; Sabino Miranda-Jimenez. Springer Verlag, 2017. p. 132-140 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10062 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Neural network modelling for dissolved oxygen effects in extensive litopenaeus vannamei culture

AU - Carbajal-Hernández, José Juan

AU - Sánchez-Fernández, Luis Pastor

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - Shrimp aquaculture is an important activity currently practiced worldwide. Dissolved oxygen can be lethal in organisms when low concentrations are present in an extensive cultured pond. According to this, a new computational model for dissolved oxygen assessment using artificial neural networks is proposed. Measurements from environmental parameters related with dissolved oxygen were used, classifying those negative situations that can affect the environmental stability of the ecosystem. As a result, an indicator concerning the good or bad water quality condition is obtained. Finally, comparisons against models reported in literature show the good performance of the proposed model.

AB - Shrimp aquaculture is an important activity currently practiced worldwide. Dissolved oxygen can be lethal in organisms when low concentrations are present in an extensive cultured pond. According to this, a new computational model for dissolved oxygen assessment using artificial neural networks is proposed. Measurements from environmental parameters related with dissolved oxygen were used, classifying those negative situations that can affect the environmental stability of the ecosystem. As a result, an indicator concerning the good or bad water quality condition is obtained. Finally, comparisons against models reported in literature show the good performance of the proposed model.

KW - Aquaculture

KW - Dissolved oxygen

KW - Neural networks

KW - Shrimp

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DO - 10.1007/978-3-319-62428-0_10

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings

A2 - Pichardo-Lagunas, Obdulia

A2 - Miranda-Jimenez, Sabino

PB - Springer Verlag

T2 - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016

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Carbajal-Hernández JJ , Sánchez-Fernández LP. Neural network modelling for dissolved oxygen effects in extensive litopenaeus vannamei culture. In Pichardo-Lagunas O, Miranda-Jimenez S, editors, Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings. Springer Verlag. 2017. p. 132-140. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-62428-0_10

Neural network modelling for dissolved oxygen effects in extensive litopenaeus vannamei culture

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