| Título |
Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science; 4th International Conference on Image and Signal Processing, ICISP 2010 |
| Resumen |
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. |
| Observaciones |
(including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 84903 |
| Lugar |
Trois-Rivieres, Quebec |
| País |
Canada |
| No. de páginas |
113-121 |
| Vol. / Cap. |
Vol. 6134 LNCS |
| Inicio |
2010-06-30 |
| Fin |
2010-07-02 |
| ISBN/ISSN |
364213680X;978-3642 |
