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

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2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaAdvances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings
EditoresObdulia Pichardo-Lagunas, Sabino Miranda-Jimenez
EditorialSpringer Verlag
Páginas132-140
Número de páginas9
ISBN (versión impresa)9783319624273
DOI
EstadoPublicada - 2017
Evento15th Mexican International Conference on Artificial Intelligence, MICAI 2016 - Cancun, México
Duración: 23 oct. 201628 oct. 2016

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10062 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia15th Mexican International Conference on Artificial Intelligence, MICAI 2016
País/TerritorioMéxico
CiudadCancun
Período23/10/1628/10/16

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