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Signal Analysis for Assessment and Prediction of the Artificial Habitat in Shrimp Aquaculture

  • José Juan Carbajal Hernández
  • Luis Pastor Sanchez Fernandez
  • José Luis Oropeza Rodríguez
  • Edgardo Manuel Felipe Riverón
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856)

Abstract

This paper presents a novel work for prediction of artificial habitat in shrimp aquaculture based on environmental signal analysis. The physical-chemical variables that are involved into the system are studied for modeling and predicting environmental patterns.The prediction model is built using AR models that reconstruct a partial section of a particular measured signal. The physical-chemical variables are classified based on the negative ecological impact using a new statistical model that calculates the frequency and the deviation of the measurements. A fuzzy inference system processes the level classifications using aquaculture rules that define all the cases calculating the condition of the shrimp habitat.

Keywords

fuzzy inference systems prediction signal analysis Assessment 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • José Juan Carbajal Hernández
    • 1
  • Luis Pastor Sanchez Fernandez
    • 1
  • José Luis Oropeza Rodríguez
    • 1
  • Edgardo Manuel Felipe Riverón
    • 1
  1. 1.Centre of Computer ResearchNational Polytechnic InstituteMéxicoMéxico

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