Pubblicazione scientifica

Fish Quality Recognition using Electrochemical Gas Sensor Array and Neural Network

FILONE TECNOLOGICO	TEMA
trasformazione e commercializzazione

RIASSUNTO

Identification of the fish quality is needed to determine the level of freshness so that it can be consumed safely. Usually, the recognition of the fish quality through physical and odor examination by humans. This can be dangerous because spoiled fish produces poisonous gas and a pungent odor from the metabolic processes of microorganisms. This study has developed a tool for recognition of the fish quality using an electrochemical gas sensor array and a Neural Network algorithm. The electrochemical gas sensor consists of amperometric and conductometric types. This sensor data is then fed to the Neural Network algorithm which is implemented in the Arduino Due microcontroller. The experimental results show that the fish quality produces a different sensor response. The more fish decay, the greater the sensor response. This system can recognize the fish quality including fresh, half-fresh, and rotten with a success rate of 80%.

DATA

Data di pubblicazione: 01/11/2019

AUTORI

MUHAMMAD RIVAI
MISBAH
MUHAMMAD ATTAMIMI
MUHAMMAD HAMKA FIRDAUS
TASRIPAN
TUKADI

ENTE DI AFFERENZA

INST TEKNOLOGI SEPULUH NOPEMBERDEPARTMENT OF ELEC ENGINEERINGSURABAYAINDONESIA
INST TEKNOLOGI ADHI TAMADEPARTMENT OF ELEC ENGINEERINGSURABAYAINDONESIA

RIVISTA

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) (Page(s): 1-5)

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