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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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. © Springer-Verlag Berlin Heidelberg 2010.
Original languageAmerican English
Title of host publicationAssessment of the artificial habitat in shrimp aquaculture using environmental pattern classification
Pages113-121
Number of pages100
ISBN (Electronic)364213680X, 9783642136801
DOIs
StatePublished - 1 Dec 2010
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6134 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

Fingerprint

Aquaculture
Pattern Classification
Fuzzy inference
Water quality
Pattern recognition
Fuzzy Inference System
Water Quality
Ecosystems
Ecosystem
Deviation
Reasoning
Classify
Modeling
Model

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 Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification (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. Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification. 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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Hernández, JJC, Fernández, LPS & Ibarra, MAM 2010, Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification. in Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6134 LNCS, pp. 113-121, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/14. 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.

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

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