Pubblicazione scientifica

Detection of Megalopa Phase Crab Larvae Using Digital Image Processing

FILONE TECNOLOGICO	TEMA
trasformazione e commercializzazione

RIASSUNTO

Blue Swimmer Crab has high economic value as an export commodity. One of the problems that occur in crab culture is cannibalism during the larval development phase. Megalopa phase crab larvae tend to eat zoea phase crab larvae due to inadequate feeding. To avoid cannibalism in the crab larvae development phase, farmers need to check the development of larvae regularly and separate the megalopa phase crab larvae from zoea phase crab larvae. Checking is done by looking directly at the rearing tank, which is time-consuming and difficult because the phase changes in the crab larvae are unpredictable. This research focuses on the detection process of the megalopa phase crab larvae using a convolutional neural network (CNN) method. This research uses 210 images, and detection results get shown an average accuracy of 87.7%.

DATA

Data di pubblicazione: 01/12/2019

AUTORI

NOVI NURLAELA
MUHAMMAD NISWAR
INGRID NURTANIO
YUSHINTA FUJAYA
SHIGERU KASHIHARA
DOUDOU FALL

ENTE DI AFFERENZA

UNIV HASANUDDINENGINEERING DEPARTMENTMAKASSARINDONESIA
UNIV HASANUDDINDEPARTMENT OF INFORMATICSMAKASSARINDONESIA
UNIV HASANUDDINFACULTY OF MARINE SCIENCES & FISHERYMAKASSARINDONESIA
NARA INST SCIENCE & TECHNOLOGYGRADUATE SCHOOL OF SCIENCE & TECHNOLOGYJAPAN

RIVISTA

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) (Page(s): 269-272)

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