Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification

José Juan Carbajal Hernández; Luis Pastor Sánchez Fernández; Marco Antonio Moreno Ibarra

doi:10.1007/978-3-642-13681-8_14

Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification

José Juan Carbajal Hernández, Luis Pastor Sánchez Fernández, Marco Antonio Moreno Ibarra

Centro de Investigación en Computación (CIC)

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

2 Scopus citations

Abstract

This paper presents a novel model for assessing the water quality for the artificial habitat in shrimp aquaculture. The physical-chemical variables involved in the artificial habitat are measured and studied for modeling the environment of the ecosystem. A new physical-chemical index classifies the behavior of the environmental variables, calculating the frequency and the deviations of the measurements based on impact levels. A fuzzy inference system (FIS) is used for establishing a relationship between environmental variables, describing the negative ecological impact of the concentrations reported. The FIS uses a reasoning process for classifying the environmental levels providing a new index, which describes the general status of the water quality (WQI); excellent, good, regular and poor.

Original language	English
Title of host publication	Image and Signal Processing - 4th International Conference, ICISP 2010, Proceedings
Pages	113-121
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-13681-8_14
State	Published - 2010
Event	4th International Conference on Image and Signal Processing, ICISP 2010 - Trois-Rivieres, QC, Canada Duration: 30 Jun 2010 → 2 Jul 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6134 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Image and Signal Processing, ICISP 2010
Country/Territory	Canada
City	Trois-Rivieres, QC
Period	30/06/10 → 2/07/10

Keywords

Artificial intelligence
Classification
Fuzzy inference systems
Water management

Access to Document

10.1007/978-3-642-13681-8_14

Cite this

Hernández, J. J. C., Fernández, L. P. S., & Ibarra, M. A. M. (2010). Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification. In Image and Signal Processing - 4th International Conference, ICISP 2010, Proceedings (pp. 113-121). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6134 LNCS). https://doi.org/10.1007/978-3-642-13681-8_14

Hernández, José Juan Carbajal ; Fernández, Luis Pastor Sánchez ; Ibarra, Marco Antonio Moreno. / Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification. Image and Signal Processing - 4th International Conference, ICISP 2010, Proceedings. 2010. pp. 113-121 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper presents a novel model for assessing the water quality for the artificial habitat in shrimp aquaculture. The physical-chemical variables involved in the artificial habitat are measured and studied for modeling the environment of the ecosystem. A new physical-chemical index classifies the behavior of the environmental variables, calculating the frequency and the deviations of the measurements based on impact levels. A fuzzy inference system (FIS) is used for establishing a relationship between environmental variables, describing the negative ecological impact of the concentrations reported. The FIS uses a reasoning process for classifying the environmental levels providing a new index, which describes the general status of the water quality (WQI); excellent, good, regular and poor.",

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Hernández, JJC , Fernández, LPS & Ibarra, MAM 2010, Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification. in Image and Signal Processing - 4th International Conference, ICISP 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6134 LNCS, pp. 113-121, 4th International Conference on Image and Signal Processing, ICISP 2010, Trois-Rivieres, QC, Canada, 30/06/10. https://doi.org/10.1007/978-3-642-13681-8_14

Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification. / Hernández, José Juan Carbajal ; Fernández, Luis Pastor Sánchez ; Ibarra, Marco Antonio Moreno.
Image and Signal Processing - 4th International Conference, ICISP 2010, Proceedings. 2010. p. 113-121 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6134 LNCS).

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

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KW - Fuzzy inference systems

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Hernández JJC , Fernández LPS , Ibarra MAM. Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification. In Image and Signal Processing - 4th International Conference, ICISP 2010, Proceedings. 2010. p. 113-121. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-13681-8_14

Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification

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