Pubblicazione scientifica

Fish pond culture via fuzzy and self-adaptive data fusion application

FILONE TECNOLOGICO	TEMA
produzione e cattura

RIASSUNTO

This study builds an automatic monitoring system for the fish pond culture environment. The purpose of this study is to reduce the financial losses in fish culture stock resulting from natural disasters, and facilitate better control of the fish pond environment. The physical water quality signals are therefore extracted using temperature, dissolved oxygen and pH sensing modules. The water heater, submerged motor pump, air pump, feeding trough and LED illuminating lamp are controlled to improve the water quality and reduce labor. This study utilizes the self-adaptive data fusion approach via a wireless sensors network framework to remotely monitor the fish pond automatic control system. The experimental results show that the fish pond culture environment can be accurately and stably monitored.

DATA

Data di pubblicazione: 01/10/2017

AUTORI

WEN-TSAI SUNG
JUI-HO CHEN
SUNG-JUNG HSIAO

ENTE DI AFFERENZA

DEPT ELEC ENG NATL CHIN YI UNIV TECH TAIWAN
DEPT ELEC ENG NATL TAIPEI UNIV TECH TAIWAN

RIVISTA

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (Page(s): 2986-2991)

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