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

  • Authors:

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

  • Affiliations:

  • Centre of Computer Research, National Polytechnic Institute, México, D.F., México;Centre of Computer Research, National Polytechnic Institute, México, D.F., México;Centre of Computer Research, National Polytechnic Institute, México, D.F., México

  • Venue:
  • ICISP'10 Proceedings of the 4th international conference on Image and signal processing
  • Year:
  • 2010

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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 (Γ) 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.